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    Function Calls And Llms: Getting Your Llm To Use Tools

    Posted By: ELK1nG
    Function Calls And Llms: Getting Your Llm To Use Tools

    Function Calls And Llms: Getting Your Llm To Use Tools
    Published 1/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.01 GB | Duration: 1h 34m

    Do's, Dont's, and The Code You Need To Get Your LLM Models To Utilize Tools Via Functions

    What you'll learn

    How To Embed Function Calls Directly Into Code For LLM Models To Retrieve

    How To Utilize External LLM Models and Tools For Function Calls

    How To Fine Tune Your Own LLM For Function Calls

    How To Use the OpenAI API And Associated Services For Function Calls

    Requirements

    Very little programming experience is required for this course as all code necessary is provided. Knowledge of Python is helpful.

    Description

    Welcome to the frontier of AI, where language models aren't just smart chatbots – they're your personal code-wielding assistants. This course takes you on a thrilling exploration of function calls in LLMs, a revolutionary technology poised to transform how we interact with machines.Imagine this:Automating tedious tasks: Your LLM model, trained on your unique codebase, flawlessly executes repetitive coding functions, freeing your time for the big picture.Boosting your productivity: Forget copy-pasting code. With a few concise prompts, your LLM seamlessly integrates existing functions into your workflow.Unlocking creative possibilities: Generate entire code skeletons, adapt algorithms to new scenarios, and even debug complex issues – all with the help of your intelligent language assistant.This course is your roadmap to this exciting future. We'll delve deep into the intricate world of function calls and LLMs, covering:The Fundamentals: Understand the core concepts of LLM architecture, function calls, and their intersection.Method Masterclass: Explore every major method for invoking function calls within LLM models, from template-based approaches to advanced structural decoding techniques.Pros & Cons: We'll dissect the strengths and weaknesses of each method, equipping you to choose the right tool for the job.Do's & Don'ts: Navigate the pitfalls and maximize the potential of function calls with practical best practices and real-world case studies.Deployment Deep Dive: Learn how to seamlessly integrate function calls into your existing workflow and applications.This is more than just a course – it's an investment in your future. By mastering function calls in LLMs, you'll be at the forefront of AI innovation, able to push the boundaries of what's possible with your coding expertise.What sets this course apart?Comprehensive Coverage: No other resource dives as deep into the nuances of function calls and LLMs, offering a truly definitive guide.Expert-Led Instruction: Learn from a seasoned practitioner with extensive experience in AI and LLM development.Hands-on Learning: Dive into practical exercises and real-world examples to solidify your understanding.Thriving Community: Connect with fellow pioneers in the field, share insights, and collaborate on groundbreaking projects.Don't miss this opportunity to be among the first to master this game-changing technology. Enroll today and unlock the power of function calls in LLMs, propelling your AI skills and projects to new heights!

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Section 2: Embedding The Function Call Directly Into The Code

    Lecture 2 Embedding The Function Call Directly Into The Code

    Section 3: External LLM Methods

    Lecture 3 External LLM Methods

    Section 4: OpenAI API

    Lecture 4 OpenAI API

    Section 5: Fine Tuning Your Own LLM Model

    Lecture 5 Fine Tuning Your Own LLM Model

    This course is for anyone who is interested in learning how to perform Function Calls with LLM Models and wants a definitive guide and resource