LLM Agent Fine-Tuning: Enhancing Task Automation with Weights & Biases

  Рет қаралды 11,187

DeepLearningAI

DeepLearningAI

5 ай бұрын

In our focused session on Fine-Tuning LLM Agents, you'll acquire crucial insights and techniques for enhancing the performance and specificity of local LLM Agents in application automation.
Throughout this webinar, we will explore a variety of essential topics, including:
Fine-Tuning Techniques: Learn about LORA (Low-Rank Adaptation) and its role in refining LLM behavior for specific applications.
Metrics and Logging: Understand the importance of tracking the right metrics and maintaining detailed logs using MLOps platforms like Weights & Biases.
Debugging with W&B: Discover how W&B Traces can be utilized for debugging and improving agent applications.
Prompting Paradigms: Delve into various prompting styles and their impact on the agent's behavior and task performance.
Practical Evaluation with W&B: Engage in hands-on evaluations using Weights & Biases to assess the improvements in your fine-tuned models, both quantitatively and qualitatively
By the end of this webinar, equipped with the insights and tools from Weights & Biases, you will have a foundational understanding of how to effectively fine-tune and evaluate LLM Agents.
If you're inspired by this webinar, consider joining our comprehensive course with DeepLearning.AI, focusing on "Evaluating and Debugging Generative AI Models Using Weights & Biases". This course will further your journey into the realm of generative AI models and their practical applications, leveraging tools like Weights & Biases.
Speaker:
Anish Shah, MLOps Engineer at Weights and Biases
Anish is passionate about bringing ML ideas to life as practical products. Starting his career with various Data Science teams at SAP, he honed skills in traditional Machine Learning, Deep Learning, and recommendation systems. Now at Weights & Biases, Anish actively engages with practitioners, developing the ideal tools, lessons, and resources to democratize Machine Learning. His experience extends to demonstratively speaking both in-person and virtually at events like ODSC, Ray Summit, SnowFlake Developer Day, and more. With the art of programming and a little bit of magic, Anish crafts ML projects to help better serve others, turning "oh no's" into "a-ha's"!
NB: colab.research.google.com/dri...
Slides: docs.google.com/presentation/...
Course: wandb.me/courses
Discord: wandb.me/discord
LoRa deeper dive: wandb.ai/sauravmaheshkar/LoRA...
GPT Finetuning deeper dive: wandb.ai/prompt-eng/openai-fi...
OSS Finetuning deeper dive: wandb.ai/capecape/alpaca_ft/r...
Evaluation on RAG deeper dive: wandb.ai/wandbot/wandbot-eval...

Пікірлер: 3
@mryogi16
@mryogi16 3 ай бұрын
Thank you, Vikram and Atin for this wondering presentation. May the force be with you.
@cjeganmohan
@cjeganmohan 5 ай бұрын
This is a very good presentation Anish.
@rajatag27
@rajatag27 5 ай бұрын
Great talk
Chat with SQL and Tabular Databases using LLM Agents (DON'T USE RAG!)
58:54
How to Improve your LLM? Find the Best & Cheapest Solution
9:36
What's AI by Louis-François Bouchard
Рет қаралды 11 М.
Omega Boy Past 3 #funny #viral #comedy
00:22
CRAZY GREAPA
Рет қаралды 36 МЛН
Каха инструкция по шашлыку
01:00
К-Media
Рет қаралды 7 МЛН
Deep Dive into LLM Evaluation with Weights & Biases
59:11
DeepLearningAI
Рет қаралды 17 М.
Aligning LLMs with Direct Preference Optimization
58:07
DeepLearningAI
Рет қаралды 21 М.
How To Read AI Research Papers Effectively
1:08:19
DeepLearningAI
Рет қаралды 36 М.
Let's Build: Automate ANYTHING With AI Agent Teams (Step-by-Step)
55:30
Generative AI Fine Tuning LLM Models Crash Course
2:36:50
Krish Naik
Рет қаралды 23 М.
A Survey of Techniques for Maximizing LLM Performance
45:32
Stop using ChatGPT, build Agents instead - Maya Akim
1:28:47
David Ondrej
Рет қаралды 63 М.
Lessons Learned on LLM RAG Solutions
34:31
Prolego
Рет қаралды 21 М.
Зу-зу Күлпәш.Бизнес (15 бөлім)
49:12
ASTANATV Movie
Рет қаралды 495 М.