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Finetuning Large Language Models
5+ hour, 34+ min ago (231+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn an accomplishment with PRO Learn the fundamentals of finetuning a large language model (LLM). Understand how finetuning differs from prompt engineering, and when to use both. Get practical experience with real…...
Data Analytics
5+ hour, 34+ min ago (943+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn a certificate with PRO Generative AI for analytics: Leverage generative AI in the data analytics lifecycle, with hands-on labs and guidance on when and how to use AI assistance. Data-informed…...
Mathematics for Machine Learning and Data Science
5+ hour, 34+ min ago (892+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn a certificate with PRO A deep understanding of what makes algorithms work, and how to tune them for custom implementation. Statistical techniques that empower you to get more out of…...
Retrieval Optimization: Tokenization to Vector Quantization
5+ hour, 34+ min ago (285+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn an accomplishment with PRO Learn how tokenization works in large language and embedding models and how the tokenizer can affect the quality of your search. Explore how different tokenization techniques…...
Agent Memory: Building Memory-Aware Agents
5+ hour, 34+ min ago (273+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn an accomplishment with PRO Understand why stateless agents fail at long-horizon tasks and how memory-first architecture gives agents persistence and the ability to learn across sessions. Build a Memory Manager…...
Introducing Multimodal Llama 3. 2
5+ hour, 34+ min ago (297+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn an accomplishment with PRO Explore the features of the new Llama 3. 2 model, from image classification, vision reasoning to tool use. Learn the details of Llama 3. 2 prompting, tokenization, built-in and custom…...
Embedding Models: from Architecture to Implementation
5+ hour, 34+ min ago (269+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn an accomplishment with PRO Gain an in-depth understanding of the architecture behind embedding models; and learn how to train and use them. Learn how to use different embedding models such…...
Attention in Transformers: Concepts and Code in Py Torch
5+ hour, 34+ min ago (228+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn an accomplishment with PRO Learn how the attention mechanism in LLMs helps convert base token embeddings into rich context-aware embeddings. Understand the Query, Key, and Value matrices, what they are…...
Getting Started with Mistral
5+ hour, 34+ min ago (291+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn an accomplishment with PRO Explore Mistral's three open source models (Mistral 7 B, Mixtral 8x7 B, and the latest Mixtral 8x22 B), and three commercial models (small, medium, and large), which Mistral provides access…...
Efficiently Serving LLMs
5+ hour, 34+ min ago (253+ words) " New course! Enroll in Spec-Driven Development with Coding Agents Earn an accomplishment with PRO Learn how Large Language Models (LLMs) repeatedly predict the next token, and how techniques like KV caching can greatly speed up text generation. Write code to…...