Large Language Models Agents
Streamlining automation with code generation and external tools interaction - Anish Shah
In this webinar, join us for a deep dive into the capabilities of Large Language Model (LLM) Agents in automating tasks through advanced code generation and interaction with external tools.
We’ll cover the following:
Introduction to LLM Agents: Learn the architecture of LLM Agents and their applications in task automation, focusing on code generation and the use of external APIs and tools.
Navigating Development Challenges: Tackle the common challenges encountered during the development of LLM Agents, and see how integrations with Weights & Biases can provide clarity and control through 'Traces' and 'Prompts'.
Practical Hands-On Session: Experience a hands-on segment where you'll work on setting up a minimal LLM Agent, addressing real-world automation tasks, and understanding the step-by-step process of agent development and deployment.
Performance Evaluation: Discuss various strategies for evaluating and testing LLM Agents, including A/B testing and performance metrics.
By the end of this session, participants will gain actionable knowledge on creating and deploying LLM Agents, with the skills to harness their power for automating complex tasks efficiently. Whether you’re looking to enhance your technical toolkit or integrate LLM Agents into your workflow, this webinar will equip you with the essential expertise.
About the speaker:
Anish loves turning ML ideas into ML products. Anish started his career working with multiple Data Science teams within SAP, working with traditional ML, deep learning, and recommendation systems before landing at Weights & Biases. With the art of programming and a little bit of magic, Anish crafts ML projects to help better serve our customers, turning “oh nos” to “a-ha”s!