GPT-3.5 Turbo Courses and Certifications

James Briggs

Build Conversational Agents with Vector DBs - LangChain

Learn to create powerful conversational agents using vector databases and LangChain, combining retrieval augmentation with chatbots for enhanced data freshness and domain-specific knowledge.

• YouTube
• 19 minutes
• On-Demand
• Free Video

echohive

Fine Tune GPT 3.5 Turbo in Python - Step by Step Instructions for Entire Process

Comprehensive guide to fine-tuning GPT-3.5 Turbo using Python and OpenAI API, covering dataset creation, job management, progress tracking, and visualization.

• YouTube
• 17 minutes
• On-Demand
• Free Video

Data Science Dojo

Mastering Fine-Tuning - A Crash Course on Fine-Tuning GPT-3.5 Turbo

Unlock GPT-3.5 Turbo's potential: Learn to customize the model for specific tasks, achieve top-tier performance, enhance control, and boost consistency in output formatting.

• YouTube
• 52 minutes
• On-Demand
• Free Video

echohive

Building GPT Apps Visually with Rivet Drag-and-Drop UI - Python Code Included

Explore visual programming with Rivet to build GPT-powered apps. Learn to create a tower defense game generator using drag-and-drop UI and Python code.

• YouTube
• 17 minutes
• On-Demand
• Free Video

Data Science Dojo

Fine Tune GPT-3.5 Turbo

Comprehensive guide to customizing GPT-3.5 Turbo for specific use cases, enhancing performance, steerability, and output consistency through fine-tuning techniques.

• YouTube
• 52 minutes
• On-Demand
• Free Video

echohive

Memwalker Advanced Tree Retrieval Without VectorDB - Python Implementation

Explore a Python implementation of Memwalker, an advanced tree retrieval system using GPT models for summarization and reasoning, without relying on embeddings or VectorDBs.

• YouTube
• 26 minutes
• On-Demand
• Free Video

echohive

Fine-Tuning GPT-3.5 Turbo for Complex Tasks with Minimal System Messages

Learn advanced techniques for fine-tuning GPT-3.5 Turbo, including dataset creation, model evaluation, and using the OpenAI API for complex tasks like summarizing Wikipedia articles.

• YouTube
• 31 minutes
• On-Demand
• Free Video

echohive

Langchain in JavaScript - Step by Step Introduction

Step-by-step guide to implementing Langchain in JavaScript, covering API calls, prompt templates, agents, memory, streaming, and component integration for advanced AI applications.

• YouTube
• 13 minutes
• On-Demand
• Free Video

James Briggs

Building Chatbot Agents from Scratch with OpenAI Functions

Learn to build a sophisticated chatbot agent using OpenAI's Function Calling, featuring conversational memory, internal thoughts, and tool usage capabilities for GPT-4 and GPT-3.5-Turbo.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Eli the Computer Guy

ChatGPT API and Python - Hands-on Class

Hands-on Python tutorial for integrating ChatGPT API, covering model comparisons, request customization, and practical applications like auto-blogging and conversational interfaces.

• YouTube
• 2 hours 8 minutes
• On-Demand
• Free Video

Eli the Computer Guy

ChatGPT Introduction and API Overview - Silicon Dojo Seminar

Comprehensive seminar exploring ChatGPT's API, models, pricing, and applications. Covers technical aspects, ethical considerations, and practical implementation strategies for developers and businesses.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

Data Centric

Comparing LLAMA 3, Phi 3, and GPT-3.5 Turbo AI Agents for Web Search Performance

Benchmarking open-source AI models against Perplexity AI for web search performance, comparing Llama 3 70b, GPT-3.5 turbo, and Phi-3 medium using a custom web search agent.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Data Centric

Build Your Own Local "Perplexity" with Ollama - Deep Dive

Aprenda a construir um agente de busca web personalizado usando Ollama e modelos de linguagem locais. Explore o código Python, configure o Ollama e compare o desempenho de diferentes modelos neste tutorial prático.

• YouTube
• 59 minutes
• On-Demand
• Free Video

PyCon US

Embeddings, Transfer Learning, and Custom LLMs: Tailoring Language Models to Your Needs

Explora técnicas avanzadas de IA como Fine Tuning y Transfer Learning para adaptar modelos de lenguaje a casos de uso específicos, utilizando Python y bibliotecas como transformers, langChain y PyTorch.

• YouTube
• 27 minutes
• On-Demand
• Free Video