Zero-Shot Speech Editing and Text-to-Speech in the Wild
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Implement a reasoning LLM in PyTorch from scratch, step by step
Probabilistic reasoning and statistical analysis in TensorFlow
- tensorflow
- bayesian-methods
- deep-learning
- machine-learning
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
- decision-making
- large-language-models
- llm
- prompting
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
- phi3
- phi3-testing
- phi3-vision
- phi4
Multi-agent systems, memory, planning, reasoning loops
- aiagents
- agent-skills
- agentic-ai
- agentic-ai-development
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.