Artificial Neural Engine Machine Learning Library. Contribute to Anemll/Anemll development by creating an account on GitHub.
Machine Learning Glossary | Google for Developers
This glossary defines a wide range of machine learning terms, including those specific to TensorFlow and large language models.
Anemll on Twitter / X
Up to 3.5x faster LLM inference on Apple Neural Engine:ANE is a Tensor Processing Unit, unlike GPU, it requires fixed-shape tensors. The KV cache size is set at compile time. A fixed 4096 context always runs at the slowest speed, even for short replies.Variable Context: start… pic.twitter.com/a1mLlmMYq7— Anemll (@anemll) February 16, 2026
Glossary of Terms: Generative AI Basics - MIT Sloan Teaching & Learning Technologies
Learn key AI terms. This glossary defines and explains important concepts like generative AI, large language model, natural language processing, and more.
12britz/awesome-free-models
A curated list of free AI models, APIs, and tools you can use without paying a cent.
AI Agent Memory: Complete Guide & Architecture
AI agent memory: what it is, how it works, architecture, memory types, and how to add persistent long-term context.
LukeW | The Evolution of AI Products
At this point, the use of artificial intelligence and machine learning models in software has a long history. But the past three years really accelerated the ev...
Artificial Intelligence Glossary | Stanford HAI
Artificial Intelligence (AI) is rapidly growing, with new terms and concepts being introduced at a breakneck speed. You may have seen terms such as AGI, machine learning, or foundation models in media headlines, emerging legislation, or in your everyday life.
Artificial intelligence glossary: 60+ terms to know
Use this comprehensive glossary of AI terms to understand the language of artificial intelligence.
Personalized Machine Learning
This page contains collects information and supplementary material for my textbook Personalized Machine Learning:
yzfly/awesome-context-engineering
A curated collection of resources, papers, tools, and best practices for Context Engineering in AI agents and Large Language Models (LLMs).
ggml
AI inference at the edge. ggml has 22 repositories available. Follow their code on GitHub.
generative-ai/gemini/agents/always-on-memory-agent at main · GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform - GoogleCloudPlatform/generative-ai
transformers/src/transformers/models/auto/tokenization_auto.py at 1d5296f2de31ecee4fdd789dc2b2fe068b320284 · huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - huggingface/transformers
