
Learn to build a contextual chatbot using LLM and vector database, exploring embedding, search, and answer generation with Langchain.

Explore LIMA, a LLaMa-based model fine-tuned on 1,000 curated prompts, producing impressive responses without user data or RLHF. Discover insights on language model alignment from this innovative approach.

Explore QA systems using LLMs and RAGs, learning to create powerful question-answering bots on custom datasets.

Build a Python-based chatbot using Orca Mini and Phi 3 models on Raspberry Pi 5, running locally without internet or subscriptions. Gain hands-on experience in implementing AI models on embedded systems.

Explore building custom GPTs with OpenAI's tools in this live demo, enhancing content engagement and simplifying technical aspects for users.

Connect a Llama 2 chatbot to the internet, enabling Bing searches and custom function integration for enhanced capabilities like Google searches, paper lookups, and API connections.

Discover practical tips for managing data in scalable LLM systems. Learn how LlamaIndex and Ray provide tools for building robust, production-ready AI applications using private data.

Implement prompt chaining using GPT-4o and Flowise AI to enhance AI and LLM development skills.

Learn to create a local Python AI chatbot using Ollama, running Llama3 model without subscriptions. Includes setup, implementation, and a full script for a functional chatbot.

Learn to create an intelligent Q&A app using Retrieval-Augmented Generation, Gemini Pro, and LangChain. Master advanced retrieval techniques to enhance chatbot performance and build a powerful AI-driven application.

Explore cutting-edge AI developments: prompt caching, advanced agents, efficient retrieval, model distillation, and more. Stay informed on the latest breakthroughs shaping the future of artificial intelligence.

Hands-on tutorial for building a RAG system from scratch using Llama 3.1, Groq API, Sqlite-vec, and FastEmbed. Learn to create a chatbot with custom data without external libraries.

Explore AI, ML, DL, and Generative AI concepts, their evolution, and impact. Learn about large language models, chatbots, and deepfakes while clarifying misconceptions in this concise overview.

Exploring AI's potential to bridge the access to justice gap and prevent homelessness by assisting free legal services in representing vulnerable populations effectively.

Improve a Climate RAG chatbot for production using Weights & Biases Weave. Learn end-to-end process including tracing, benchmarking, and incorporating feedback for iterative enhancement.

Análisis de la tendencia de simplificar modelos de lenguaje para crear chatbots más económicos y rápidos, impulsada por la competencia del mercado, a costa de capacidades más avanzadas.

Optimize open source LLMs for AI agents: Learn best practices for fine-tuning models in retrieval, chat, planning, and function calling to create domain-specific assistants and application copilots.

Live demonstration of creating a WordPress chatbot plugin using Devin AI, covering setup, coding, debugging, and deployment with OpenAI integration.

Learn to create and deploy a no-code AI chatbot for WordPress using VectorShift. Extract site data, configure the chatbot, integrate with Slack, and optimize responses for enhanced user engagement and support.

Learn to build a functional Messenger bot for an eCommerce business, from page creation to deployment, enhancing sales and customer support.

Explore insights from launching CriteriaGPT, a RAG-based chatbot for mortgage brokers. Learn strategies for implementing retrieval augmented generative applications across various domains.