deeplearning.ai · Learn
Learn listings from deeplearning.ai on TechiSeek. 129 public listings.
- ChatGPT Prompt Engineering for Developers (deeplearning.ai)Learn the fundamentals of prompt engineering for ChatGPT. Learn effective prompting, and how to use LLMs for summarizing, inferring, transf…
- Building Systems with the ChatGPT API (deeplearning.ai)Learn to break down complex tasks, automate workflows, chain LLM calls, and get better outputs from LLMs. Evaluate LLM inputs and outputs f…
- How Diffusion Models Work (deeplearning.ai)Learn and build diffusion models from the ground up, understanding each step. Learn about diffusion models in use today and implement algor…
- LangChain for LLM Application Development (deeplearning.ai)Use the powerful and extensible LangChain framework, using prompts, parsing, memory, chains, question answering, and agents.
- LangChain Chat with Your Data (deeplearning.ai)Create a chatbot with LangChain to interface with your private data and documents. Learn from LangChain creator, Harrison Chase.
- Building Generative AI Applications with Gradio (deeplearning.ai)Create and demo machine learning applications quickly. Share your app with teammates and beta testers on Hugging Face Spaces.
- Evaluating and Debugging Generative AI (deeplearning.ai)Learn MLOps tools for managing, versioning, debugging, and experimenting in your ML workflow.
- Large Language Models with Semantic Search (deeplearning.ai)Learn to use LLMs to enhance search and summarize results, using Cohere Rerank and embeddings for dense retrieval.
- Finetuning Large Language Models (deeplearning.ai)Discover when to use finetuning vs prompting for LLMs. Select suitable open-source models, prepare data, and train & evaluate for your spec…
- How Business Thinkers Can Start Building AI Plugins With Semantic Kernel (deeplearning.ai)Learn Microsoft's open source orchestrator, Semantic Kernel and use LLM building blocks such as memory, connectors, chains and planners in…
- Understanding and Applying Text Embeddings (deeplearning.ai)Learn how to accelerate the application development process with text embeddings for sentence and paragraph meaning.
- Pair Programming with a Large Language Model (deeplearning.ai)Learn how to prompt an LLM to help improve, debug, understand, and document your code. Use LLMs to simplify your code and enhance productiv…
- Functions, Tools and Agents with LangChain (deeplearning.ai)Learn about the latest advancements in LLM APIs and use LangChain Expression Language (LCEL) to compose and customize chains and agents.
- Vector Databases: from Embeddings to Applications (deeplearning.ai)Design and execute real-world applications of vector databases. Build efficient, practical applications, including hybrid and multilingual…
- Quality and Safety for LLM Applications (deeplearning.ai)Learn how to evaluate the safety and security of your LLM applications and protect against risks. Monitor and enhance security measures to…
- Building and Evaluating Advanced RAG (deeplearning.ai)Learn advanced RAG retrieval methods like sentence-window and auto-merging that outperform baselines, and evaluate and iterate on your pipe…
- Reinforcement Learning From Human Feedback (deeplearning.ai)Get an introduction to tuning and evaluating LLMs using Reinforcement Learning from Human Feedback (RLHF) and fine-tune the Llama 2 model.
- Advanced Retrieval for AI with Chroma (deeplearning.ai)Learn advanced retrieval techniques to improve the relevancy of retrieved results. Learn to recognize poor query results and use LLMs to im…
- Automated Testing for LLMOps (deeplearning.ai)Learn how to create an automated CI pipeline to evaluate your LLM applications on every change, for faster and safer development.
- Building Applications with Vector Databases (deeplearning.ai)Learn to build six applications powered by vector databases, including semantic search, retrieval augmented generation (RAG), and anomaly d…
- Prompt Engineering with Llama 2&3 (deeplearning.ai)Learn best practices for prompting and selecting among Meta Llama 2 & 3 models. Interact with Meta Llama 2 Chat, Code Llama, and Llama Guar…
- Open Source Models with Hugging Face (deeplearning.ai)Learn how to easily build AI applications using open-source models and Hugging Face tools. Find and filter open-source models on Hugging Fa…
- Red Teaming LLM Applications (deeplearning.ai)Learn how to make safer LLM apps through red teaming. Learn to identify and evaluate vulnerabilities in large language model (LLM) applicat…
- JavaScript RAG Web Apps with LlamaIndex (deeplearning.ai)Build a full-stack web application that uses RAG capabilities to chat with your data. Learn to build a RAG application in JavaScript, using…
- Efficiently Serving LLMs (deeplearning.ai)Understand how LLMs predict the next token and how techniques like KV caching can speed up text generation. Write code to serve LLM applica…
- Knowledge Graphs for RAG (deeplearning.ai)Learn how to build and use knowledge graph systems to improve your retrieval augmented generation applications. Use Neo4j's query language…
- Preprocessing Unstructured Data for LLM Applications (deeplearning.ai)Improve your RAG system to retrieve diverse data types. Learn to extract and normalize content from a wide variety of document types, such…
- Quantization Fundamentals with Hugging Face (deeplearning.ai)Learn how to quantize any open-source model. Learn to compress models with the Hugging Face Transformers library and the Quanto library.
- Getting Started with Mistral (deeplearning.ai)Explore Mistral's open-source and commercial models, and leverage Mistral's JSON mode to generate structured LLM responses. Use Mistral's A…
- Prompt Engineering for Vision Models (deeplearning.ai)Learn prompt engineering for vision models using Stable Diffusion, and advanced techniques like object detection and in-painting.
- Quantization in Depth (deeplearning.ai)Customize model compression with advanced quantization techniques. Try out different variants of Linear Quantization, including symmetric v…
- Building Agentic RAG with Llamaindex (deeplearning.ai)Build autonomous agents that intelligently navigate and analyze your data. Learn to develop agentic RAG systems using LlamaIndex, enabling…
- Building Multimodal Search and RAG (deeplearning.ai)Build smarter search and RAG applications for multimodal retrieval and generation.
- Multi AI Agent Systems with crewAI (deeplearning.ai)Automate business workflows with multi-AI agent systems. Exceed the performance of prompting a single LLM by designing and prompting a team…
- Introduction to on-device AI (deeplearning.ai)Deploy AI for edge devices and smartphones. Learn model conversion, quantization, and how to modify for deployment on diverse devices.
- AI Agentic Design Patterns with AutoGen (deeplearning.ai)Use the AutoGen framework to build multi-agent systems with diverse roles and capabilities for implementing complex AI applications.
- AI Agents in LangGraph (deeplearning.ai)Build agentic AI workflows using LangChain's LangGraph and Tavily's agentic search.
- Building Your Own Database Agent (deeplearning.ai)Interact with tabular data and SQL databases using natural language, enabling more efficient and accessible data analysis.
- Function-calling and data extraction with LLMs (deeplearning.ai)Learn to apply function-calling to expand LLM and agent application capabilities.
- Prompt Compression and Query Optimization (deeplearning.ai)Optimize the efficiency, security, query processing speed, and cost of your RAG applications.
- Carbon Aware Computing for GenAI developers (deeplearning.ai)Train your machine learning models using cleaner energy sources.
- Pretraining LLMs (deeplearning.ai)Learn the essential steps to pretrain a large language model from scratch.
- Federated Fine-tuning of LLMs with Private Data (deeplearning.ai)Build and fine-tune LLMs across distributed data using a federated learning framework for better privacy.
- Embedding Models: from Architecture to Implementation (deeplearning.ai)Learn how to build embedding models and how to create effective semantic retrieval systems.
- AI Python for Beginners (deeplearning.ai)Learn Python programming with AI assistance. Gain skills writing, testing, and debugging code efficiently, and create real-world AI applica…
- Intro to Federated Learning (deeplearning.ai)Build and fine-tune LLMs across distributed data using a federated learning framework for better privacy.
- Improving Accuracy of LLM Applications (deeplearning.ai)Systematically improve the accuracy of LLM applications with evaluation, prompting, and memory tuning.
- Building AI Applications With Haystack (deeplearning.ai)Learn a flexible framework to build a variety of complex AI applications.
- Large Multimodal Model Prompting with Gemini (deeplearning.ai)Learn best practices for multimodal prompting using Google’s Gemini model.
- Introducing Multimodal Llama 3.2 (deeplearning.ai)Try out the features of the new Llama 3.2 models to build AI applications with multimodality.