Primer
Factored Cognition Primer: How to write compositional language model programs
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Haystack | 12,474 |  | 30 | 4 months ago | 100 | November 09, 2023 | 346 | apache-2.0 | Python | |
| :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots. | ||||||||||
| Pytorch Cpp | 1,710 | 5 months ago | 3 | mit | C++ | |||||
| C++ Implementation of PyTorch Tutorials for Everyone | ||||||||||
| Bert In Production | 64 | 3 years ago | 1 | |||||||
| A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments. | ||||||||||
| Primer | 22 | a year ago | ||||||||
| Factored Cognition Primer: How to write compositional language model programs | ||||||||||
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