# The Generative AI Evaluation Company - Galileo AI > Galileo's Evaluation Intelligence Platform empowers AI teams to evaluate, iterate, monitor, and protect generative AI applications at enterprise scale. ## Evaluation and Monitoring - [Evaluate](https://docs.galileo.ai/galileo/gen-ai-studio-products/galileo-evaluate): This section provides insights into the evaluation processes for generative AI applications, focusing on methodologies and metrics used to assess performance. - [Observe](https://docs.galileo.ai/galileo/gen-ai-studio-products/galileo-observe): This page discusses monitoring strategies for AI systems, ensuring they operate effectively and meet performance standards. - [Evaluation Efficiency](https://www.galileo.ai/research#evaluation-efficiency): A detailed overview of how to enhance the efficiency of evaluation processes within AI systems. - [Powerful Metrics](https://www.galileo.ai/research#powerful-metrics): This resource outlines the key metrics that can be utilized to measure the effectiveness and performance of generative AI applications. - [Hallucination Detection](https://www.galileo.ai/research#hallucination-detection): This page explains techniques for identifying and mitigating hallucinations in AI outputs, which is crucial for maintaining reliability. ## Protection and Ethics - [Protect](https://docs.galileo.ai/galileo/gen-ai-studio-products/galileo-protect): This section covers strategies for safeguarding generative AI applications against potential risks and vulnerabilities. - [Ethical Challenges in Retrieval-Augmented Generation (RAG)](https://www.galileo.ai/blog/rag-ethics): An exploration of the ethical considerations and challenges associated with RAG in AI systems. ## Agents and Leadership - [Agents](https://www.galileo.ai/agentic-evaluations): This page introduces the concept of agents within the Galileo platform, detailing their roles and functionalities. - [Agent Leaderboard](https://www.galileo.ai/agent-leaderboard): A competitive overview of agent performance, showcasing the top-performing agents in the Galileo ecosystem. - [Introducing Our Agent Leaderboard on Hugging Face](https://www.galileo.ai/blog/agent-leaderboard): A detailed announcement regarding the integration of the agent leaderboard with Hugging Face, enhancing visibility and engagement. ## Resources and Documentation - [Docs](https://docs.galileo.ai/galileo): The main documentation hub for Galileo, providing comprehensive guides and resources for users. - [GenAI Productionize 2.0](https://www.galileo.ai/genai-productionize-2-0): An updated guide on how to effectively deploy generative AI models in production environments. - [Galileo Evaluate](https://evaluate.docs.galileo.ai/): A dedicated page for the evaluation tools and features offered by Galileo. - [Galileo Observe](https://observe.docs.galileo.ai/): A resource focused on the observation tools available for monitoring AI performance. ## Research and Insights - [Hallucination Index](https://www.galileo.ai/hallucinationindex): An index that tracks and analyzes the frequency and impact of hallucinations in AI outputs. - [LLM Hallucination Index 2023 - Galileo AI](https://www.galileo.ai/hallucinationindex-2023): A specific report detailing the findings of the Hallucination Index for the year 2023. - [Hallucination Index Methodology - Galileo AI](https://www.galileo.ai/hallucinationindex/methodology): This page outlines the methodology used to compile the Hallucination Index, providing transparency in the evaluation process. - [Understanding ROUGE in AI: What It Is and How It Works - Galileo AI](https://www.galileo.ai/blog/rouge-ai): An informative guide on the ROUGE metric, commonly used for evaluating the quality of generated text. - [How MMLU Benchmarks Test the Limits of AI Language Models](https://www.galileo.ai/blog/mmlu-benchmark): A discussion on the MMLU benchmarks and their significance in assessing AI language model capabilities. ## Additional Learning Materials - [Mastering Agents eBook](https://www.galileo.ai/ebook-mastering-agents): An eBook that provides in-depth knowledge and strategies for effectively utilizing agents in AI applications. - [Mastering RAG eBook](https://www.galileo.ai/mastering-rag): A comprehensive guide focused on mastering retrieval-augmented generation techniques. - [Chain of Thought podcast](https://pod.link/1776879655): A podcast series that delves into various topics related to AI evaluation and development. - [Case Studies](https://www.galileo.ai/case-studies): A collection of case studies showcasing successful implementations of Galileo's evaluation platform. - [Research](https://www.galileo.ai/research): A repository of research articles and papers related to generative AI and its evaluation. ## Company Information - [Team](https://www.galileo.ai/team): Information about the Galileo team, highlighting their expertise and roles within the company. - [Careers](https://ats.rippling.com/galileo/jobs): Current job openings and career opportunities at Galileo AI. - [Contact Sales](https://www.galileo.ai/get-started): A page for potential clients to reach out for sales inquiries. - [Sign up](https://app.galileo.ai/sign-up): A registration page for new users to create an account with Galileo. - [Login](https://app.galileo.ai/sign-in): The login portal for existing users to access their accounts. - [Privacy Policy](https://drive.google.com/file/d/1kIVXS3F6YAg7KUpZwCpB0BB5vikt2cy8/view): The privacy policy outlining how user data is handled and protected. - [Term of Service](https://docs.google.com/document/d/e/2PACX-1vRANTV4gmxpLFggXZRxGofzj65o0bRs8Bp8he2_3psEEPg113D0HD0krqydg-rk-g/pub): The terms of service governing the use of Galileo's platform. ## Experimental and Practical Insights - [Dependencies - Galileo](https://docs.galileo.ai/deployments/dependencies): A page detailing the dependencies required for using Galileo's evaluation tools. - [Experiments - Galileo](https://v2docs.galileo.ai/concepts/experiments): Insights into various experiments conducted using the Galileo platform to test AI models. - [Examples - Galileo](https://docs.galileo.ai/examples/overview): Practical examples demonstrating the application of Galileo's evaluation tools in real-world scenarios. ## Future Directions - [GenAI Productionize 2024 - Galileo AI](https://www.galileo.ai/genai-productionize-2024): A forward-looking guide on the anticipated developments in the productionization of generative AI for the year 2024. ## Blog - [Best benchmarks for evaluating llms critical thinking abilities](https://www.galileo.ai/blog/best-benchmarks-for-evaluating-llms-critical-thinking-abilities): This section provides insights into the topic of best benchmarks for evaluating llms critical thinking abilities, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Llm parameters model evaluation](https://www.galileo.ai/blog/llm-parameters-model-evaluation): This section provides insights into the topic of llm parameters model evaluation, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Ai agent metrics](https://www.galileo.ai/blog/ai-agent-metrics): This section provides insights into the topic of ai agent metrics, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [How to test ai agents evaluation](https://www.galileo.ai/blog/how-to-test-ai-agents-evaluation): This section provides insights into the topic of how to test ai agents evaluation, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Llm performance metrics](https://www.galileo.ai/blog/llm-performance-metrics): This section provides insights into the topic of llm performance metrics, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Top tools for building rag systems](https://www.galileo.ai/blog/top-tools-for-building-rag-systems): This section provides insights into the topic of top tools for building rag systems, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Introduction to ai safety](https://www.galileo.ai/blog/introduction-to-ai-safety): This section provides insights into the topic of introduction to ai safety, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Mastering llm evaluation metrics frameworks and techniques](https://www.galileo.ai/blog/mastering-llm-evaluation-metrics-frameworks-and-techniques): This section provides insights into the topic of mastering llm evaluation metrics frameworks and techniques, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Best llm observability tools compared for 2024](https://www.galileo.ai/blog/best-llm-observability-tools-compared-for-2024): This section provides insights into the topic of best llm observability tools compared for 2024, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Self evaluation ai agents performance reasoning reflection](https://www.galileo.ai/blog/self-evaluation-ai-agents-performance-reasoning-reflection): This section provides insights into the topic of self evaluation ai agents performance reasoning reflection, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Understanding llm observability](https://www.galileo.ai/blog/understanding-llm-observability): This section provides insights into the topic of understanding llm observability, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Threat modeling multi agent ai](https://www.galileo.ai/blog/threat-modeling-multi-agent-ai): This section provides insights into the topic of threat modeling multi agent ai, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Ai agent architecture](https://www.galileo.ai/blog/ai-agent-architecture): This section provides insights into the topic of ai agent architecture, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Blanc metric ai](https://www.galileo.ai/blog/blanc-metric-ai): This section provides insights into the topic of blanc metric ai, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Introduction to agent development challenges and innovations](https://www.galileo.ai/blog/introduction-to-agent-development-challenges-and-innovations): This section provides insights into the topic of introduction to agent development challenges and innovations, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Rag performance optimization](https://www.galileo.ai/blog/rag-performance-optimization): This section provides insights into the topic of rag performance optimization, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Fluency metrics llm rag](https://www.galileo.ai/blog/fluency-metrics-llm-rag): This section provides insights into the topic of fluency metrics llm rag, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Best real time speech to text tools](https://www.galileo.ai/blog/best-real-time-speech-to-text-tools): This section provides insights into the topic of best real time speech to text tools, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Llama 3 models](https://www.galileo.ai/blog/llama-3-models): This section provides insights into the topic of llama 3 models, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Prevent data corruption multi agent ai](https://www.galileo.ai/blog/prevent-data-corruption-multi-agent-ai): This section provides insights into the topic of prevent data corruption multi agent ai, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Analyze multi agent workflows](https://www.galileo.ai/blog/analyze-multi-agent-workflows): This section provides insights into the topic of analyze multi agent workflows, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Multimodal llm guide evaluation](https://www.galileo.ai/blog/multimodal-llm-guide-evaluation): This section provides insights into the topic of multimodal llm guide evaluation, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Malicious behavior in multi agent systems](https://www.galileo.ai/blog/malicious-behavior-in-multi-agent-systems): This section provides insights into the topic of malicious behavior in multi agent systems, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Disadvantages open source llms](https://www.galileo.ai/blog/disadvantages-open-source-llms): This section provides insights into the topic of disadvantages open source llms, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Agentic ai frameworks](https://www.galileo.ai/blog/agentic-ai-frameworks): This section provides insights into the topic of agentic ai frameworks, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Building an effective llm evaluation framework from scratch](https://www.galileo.ai/blog/building-an-effective-llm-evaluation-framework-from-scratch): This section provides insights into the topic of building an effective llm evaluation framework from scratch, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [F1 score ai evaluation precision recall](https://www.galileo.ai/blog/f1-score-ai-evaluation-precision-recall): This section provides insights into the topic of f1 score ai evaluation precision recall, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Retrieval augmented generation metrics evaluation](https://www.galileo.ai/blog/retrieval-augmented-generation-metrics-evaluation): This section provides insights into the topic of retrieval augmented generation metrics evaluation, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Navigating the complex landscape of ai regulation and trust](https://www.galileo.ai/blog/navigating-the-complex-landscape-of-ai-regulation-and-trust): This section provides insights into the topic of navigating the complex landscape of ai regulation and trust, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Galileo correctness metric](https://www.galileo.ai/blog/galileo-correctness-metric): This section provides insights into the topic of galileo correctness metric, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Measure communication in multi agent ai](https://www.galileo.ai/blog/measure-communication-in-multi-agent-ai): This section provides insights into the topic of measure communication in multi agent ai, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Enhance recommender systems llm reasoning graphs](https://www.galileo.ai/blog/enhance-recommender-systems-llm-reasoning-graphs): This section provides insights into the topic of enhance recommender systems llm reasoning graphs, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Cohens kappa metric](https://www.galileo.ai/blog/cohens-kappa-metric): This section provides insights into the topic of cohens kappa metric, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [How ai agents are revolutionizing human interaction](https://www.galileo.ai/blog/how-ai-agents-are-revolutionizing-human-interaction): This section provides insights into the topic of how ai agents are revolutionizing human interaction, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Data processing steps rag precision performance](https://www.galileo.ai/blog/data-processing-steps-rag-precision-performance): This section provides insights into the topic of data processing steps rag precision performance, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Multi agent coordination strategies](https://www.galileo.ai/blog/multi-agent-coordination-strategies): This section provides insights into the topic of multi agent coordination strategies, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Moverscore ai semantic text evaluation](https://www.galileo.ai/blog/moverscore-ai-semantic-text-evaluation): This section provides insights into the topic of moverscore ai semantic text evaluation, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Agentic rag integration ai architecture](https://www.galileo.ai/blog/agentic-rag-integration-ai-architecture): This section provides insights into the topic of agentic rag integration ai architecture, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Multimodal ai models](https://www.galileo.ai/blog/multimodal-ai-models): This section provides insights into the topic of multimodal ai models, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Comparing rag and traditional llms which suits your project](https://www.galileo.ai/blog/comparing-rag-and-traditional-llms-which-suits-your-project): This section provides insights into the topic of comparing rag and traditional llms which suits your project, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Top enterprise speech to text solutions for enterprises](https://www.galileo.ai/blog/top-enterprise-speech-to-text-solutions-for-enterprises): This section provides insights into the topic of top enterprise speech to text solutions for enterprises, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Explainability ai](https://www.galileo.ai/blog/explainability-ai): This section provides insights into the topic of explainability ai, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Rouge metric](https://www.galileo.ai/blog/rouge-metric): This section provides insights into the topic of rouge metric, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [G eval metric](https://www.galileo.ai/blog/g-eval-metric): This section provides insights into the topic of g eval metric, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Llm evaluation step by step guide](https://www.galileo.ai/blog/llm-evaluation-step-by-step-guide): This section provides insights into the topic of llm evaluation step by step guide, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Coordinated attacks multi agent ai systems](https://www.galileo.ai/blog/coordinated-attacks-multi-agent-ai-systems): This section provides insights into the topic of coordinated attacks multi agent ai systems, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Evaluating generative ai overcoming challenges in a complex landscape](https://www.galileo.ai/blog/evaluating-generative-ai-overcoming-challenges-in-a-complex-landscape): This section provides insights into the topic of evaluating generative ai overcoming challenges in a complex landscape, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Continuous integration ci ai fundamentals](https://www.galileo.ai/blog/continuous-integration-ci-ai-fundamentals): This section provides insights into the topic of continuous integration ci ai fundamentals, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Prompt perplexity metric](https://www.galileo.ai/blog/prompt-perplexity-metric): This section provides insights into the topic of prompt perplexity metric, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Effective llm monitoring](https://www.galileo.ai/blog/effective-llm-monitoring): This section provides insights into the topic of effective llm monitoring, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Unlocking the future of software development the transformative power of ai agents](https://www.galileo.ai/blog/unlocking-the-future-of-software-development-the-transformative-power-of-ai-agents): This section provides insights into the topic of unlocking the future of software development the transformative power of ai agents, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Raft adapting llm](https://www.galileo.ai/blog/raft-adapting-llm): This section provides insights into the topic of raft adapting llm, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Ai observability](https://www.galileo.ai/blog/ai-observability): This section provides insights into the topic of ai observability, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Measuring ai roi and achieving efficiency gains insights from industry experts](https://www.galileo.ai/blog/measuring-ai-roi-and-achieving-efficiency-gains-insights-from-industry-experts): This section provides insights into the topic of measuring ai roi and achieving efficiency gains insights from industry experts, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Navigating the future of data management with ai driven feedback loops](https://www.galileo.ai/blog/navigating-the-future-of-data-management-with-ai-driven-feedback-loops): This section provides insights into the topic of navigating the future of data management with ai driven feedback loops, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Governance trustworthiness and production grade ai building the future of trustworthy artificial](https://www.galileo.ai/blog/governance-trustworthiness-and-production-grade-ai-building-the-future-of-trustworthy-artificial): This section provides insights into the topic of governance trustworthiness and production grade ai building the future of trustworthy artificial, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Practical ai strategic business value](https://www.galileo.ai/blog/practical-ai-strategic-business-value): This section provides insights into the topic of practical ai strategic business value, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Auc roc model evalulation](https://www.galileo.ai/blog/auc-roc-model-evalulation): This section provides insights into the topic of auc roc model evalulation, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Human evaluation metrics ai](https://www.galileo.ai/blog/human-evaluation-metrics-ai): This section provides insights into the topic of human evaluation metrics ai, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Ai security best practices](https://www.galileo.ai/blog/ai-security-best-practices): This section provides insights into the topic of ai security best practices, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Truthful ai reliable qa](https://www.galileo.ai/blog/truthful-ai-reliable-qa): This section provides insights into the topic of truthful ai reliable qa, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Mrr metric ai evaluation](https://www.galileo.ai/blog/mrr-metric-ai-evaluation): This section provides insights into the topic of mrr metric ai evaluation, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Deploying generative ai at enterprise scale navigating challenges and unlocking potential](https://www.galileo.ai/blog/deploying-generative-ai-at-enterprise-scale-navigating-challenges-and-unlocking-potential): This section provides insights into the topic of deploying generative ai at enterprise scale navigating challenges and unlocking potential, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Mean average precision metric](https://www.galileo.ai/blog/mean-average-precision-metric): This section provides insights into the topic of mean average precision metric, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Qualitative vs quantitative evaluation llm](https://www.galileo.ai/blog/qualitative-vs-quantitative-evaluation-llm): This section provides insights into the topic of qualitative vs quantitative evaluation llm, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Ai risk management strategies](https://www.galileo.ai/blog/ai-risk-management-strategies): This section provides insights into the topic of ai risk management strategies, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Multimodal ai guide](https://www.galileo.ai/blog/multimodal-ai-guide): This section provides insights into the topic of multimodal ai guide, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Multi domain ai agents assess evaluate](https://www.galileo.ai/blog//multi-domain-ai-agents-assess-evaluate): This section provides insights into the topic of multi domain ai agents assess evaluate, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Skills building ai agents](https://www.galileo.ai/blog/skills-building-ai-agents): This section provides insights into the topic of skills building ai agents, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Semantic textual similarity metric](https://www.galileo.ai/blog/semantic-textual-similarity-metric): This section provides insights into the topic of semantic textual similarity metric, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Rag ethics](https://www.galileo.ai/blog/rag-ethics): This section provides insights into the topic of rag ethics, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Llm summarization strategies](https://www.galileo.ai/blog/llm-summarization-strategies): This section provides insights into the topic of llm summarization strategies, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Ai evaluation process steps](https://www.galileo.ai/blog/ai-evaluation-process-steps): This section provides insights into the topic of ai evaluation process steps, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Llm monitoring vs observability understanding the key differences](https://www.galileo.ai/blog/llm-monitoring-vs-observability-understanding-the-key-differences): This section provides insights into the topic of llm monitoring vs observability understanding the key differences, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Evaluating ai agent performance benchmarks real world tasks](https://www.galileo.ai/blog/evaluating-ai-agent-performance-benchmarks-real-world-tasks): This section provides insights into the topic of evaluating ai agent performance benchmarks real world tasks, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Best practices for ai model validation in machine learning](https://www.galileo.ai/blog/best-practices-for-ai-model-validation-in-machine-learning): This section provides insights into the topic of best practices for ai model validation in machine learning, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Benchmarks multi agent ai](https://www.galileo.ai/blog/benchmarks-multi-agent-ai): This section provides insights into the topic of benchmarks multi agent ai, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Bert score explained guide](https://www.galileo.ai/blog/bert-score-explained-guide): This section provides insights into the topic of bert score explained guide, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Character error rate cer metric](https://www.galileo.ai/blog/character-error-rate-cer-metric): This section provides insights into the topic of character error rate cer metric, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Mastering rag how to select a reranking model](https://www.galileo.ai/blog/mastering-rag-how-to-select-a-reranking-model): This section provides insights into the topic of mastering rag how to select a reranking model, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Mastering agents langgraph vs autogen vs crew](https://www.galileo.ai/blog/mastering-agents-langgraph-vs-autogen-vs-crew): This section provides insights into the topic of mastering agents langgraph vs autogen vs crew, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Mastering rag advanced chunking techniques for llm applications](https://www.galileo.ai/blog/mastering-rag-advanced-chunking-techniques-for-llm-applications): This section provides insights into the topic of mastering rag advanced chunking techniques for llm applications, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Best llms for rag](https://www.galileo.ai/blog/best-llms-for-rag): This section provides insights into the topic of best llms for rag, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Mastering rag how to architect an enterprise rag system](https://www.galileo.ai/blog/mastering-rag-how-to-architect-an-enterprise-rag-system): This section provides insights into the topic of mastering rag how to architect an enterprise rag system, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Mastering rag how to select an embedding model](https://www.galileo.ai/blog/mastering-rag-how-to-select-an-embedding-model): This section provides insights into the topic of mastering rag how to select an embedding model, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Announcing our series b](https://www.galileo.ai/blog/announcing-our-series-b): This section provides insights into the topic of announcing our series b, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Llm model training cost](https://www.galileo.ai/blog/llm-model-training-cost): This section provides insights into the topic of llm model training cost, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Agent leaderboard](https://www.galileo.ai/blog/agent-leaderboard): This section provides insights into the topic of agent leaderboard, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [5 techniques for detecting llm hallucinations](https://www.galileo.ai/blog/5-techniques-for-detecting-llm-hallucinations): This section provides insights into the topic of 5 techniques for detecting llm hallucinations, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Understanding latency in ai what it is and how it works](https://www.galileo.ai/blog/understanding-latency-in-ai-what-it-is-and-how-it-works): This section provides insights into the topic of understanding latency in ai what it is and how it works, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Introducing agentic evaluations](https://www.galileo.ai/blog/introducing-agentic-evaluations): This section provides insights into the topic of introducing agentic evaluations, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - [Why most ai agents fail and how to fix them](https://www.galileo.ai/blog/why-most-ai-agents-fail-and-how-to-fix-them): This section provides insights into the topic of why most ai agents fail and how to fix them, outlining key methodologies, evaluation metrics, and considerations for generative AI and agentic systems. - 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