Скачать с ютуб Unlocking the SECRETS of LLM with LangSmith в хорошем качестве

Unlocking the SECRETS of LLM with LangSmith

Description: Are you tired of your LLM apps feeling like black boxes? Do you want to gain complete control over their behavior and outputs? It's time to unlock the power of LangSmith! In this comprehensive tutorial, I'll explain LangSmith's essential features and how they supercharge your LangChain and LLMs projects What You'll Learn: - Monitoring & Debugging: Track LLM performance, identify bottlenecks and troubleshoot issues quickly. - Trace Visualization: See exactly how your chains are executing step-by-step. - Evaluating & Optimization: Access model performance, discover areas for improvement, and fine-tune your AI. - Metadata & Tagging: Organize and continuously run for deeper insights into your LLM workflows. - *LangSmith Context Manager*: Experiment with different prompts or chain configurations and see the impact on LLM's - LangSmith Groups: Organize runs based on different criteria, try out new prompts, test various models, or track changes over time. - LangSmith Client: List runs, filter data, and upload your own dataset. - Dataset: Use a carefully curated dataset to see how well it performs on specific tasks or types of input. - Model Evaluation: Using LangSmith to evaluate the models you are using against specific datasets. Who This Tutorial is For: - LangChain Users: LangSmith will transform your development workflow, whether beginner or pro. - AI Developers: Gain the tools to create more reliable, efficient, and transparent AI applications. - Anyone Building with LLMs: Unlock the full potential of large language models with powerful observability and orchestration. Key Concepts & Keywords: LangChain, LangSmith, LLM observability, LLM monitoring, LLM debugging, AI development, large language models, machine learning, natural language processing, AI tools, Python, programming tutorial Why This Video is Essential: - Step-by-Step Guide: Clear instructions and code examples for every feature. - Real-World Use Cases: See how LangSmith is used in production environments. - Pro Tips: Learn best practices for maximizing LangSmith's impact. - Open Source Code: Access all code from the tutorial for your projects. - Community Support: Join the discussion in the comments and connect with other LangChain enthusiasts. Ready to take your LangChain & LLMs applications development to the next level? Hit that "Subscribe" button, and let's unlock the power of LangSmith together! ------------------------------------------------------------------------------------------------------------- TIMESTAMPS: 00:06 Intro 01:23 Introduction 02:45 LangSmith Interface Tour 05:10 Simple LLM application with LangSmith 10:19 LangSmith Context Manager 12:56 How to use Tags in LangSmith 16:33 How to use Groups in LangSmith 23:11 How to use LangSmith Client 26:39 How to use LangSmith Metada 31:16 Dataset & Evaluation in LangSmith 40:32 Final Thoughts ------------------------------------------------------------------------------------------------------------- ⚙️ Github Project for you to follow along in this tutorial: 1. Github Repository: 🔗 https://tinyurl.com/ycxk7cwr ⚙️ Related YouTube Tutorials: 1. LangChain Unleashed: Master Response Schemas, Router Chains, & Transform Chains 🔗 https://tinyurl.com/3mjmkydd 2. Unveiling the Hidden Power of LangChain 🔗 https://tinyurl.com/2wtnrr79 ------------------------------------------------------------------------------------------------------------- ⚡️ Social Media: 🔗 Twitter: https://x.com/atef_ataya 🔗 Github: https://github.com/atef-ataya 🔗 Medium:   / atef.ataya   ⚙️ Links: 🔗 OpenAI: https://openai.com/ 🔗 LangChain: https://www.langchain.com/ ------------------------------------------------------------------------------------------------------------- #chatgpt #langchain #aitutorial #aiprogramming #machinelearning #nlp #naturallanguageprocessing #deeplearning #langsmith