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Keywords: Open-source, LLaMa, GPT-J, instruction, assistant
## [recommenders](https://github.com/microsoft/recommenders)
## [recommenders](https://github.com/recommenders-team/recommenders)
This repository contains examples and best practices for building recommendation systems, provided as Jupyter notebooks. It goes over several aspects required to build efficient recommendation systems: data preparation, modeling, evaluation, model selection & optimization, as well as operationalization
@ -39,15 +39,15 @@ MindsDB is a low-code ML platform, which automates and integrates several ML fra
Keywords: Database, low-code, AI table
## [langchain](https://github.com/hwchase17/langchain)
## [langchain](https://github.com/langchain-ai/langchain)
[langchain](https://github.com/hwchase17/langchain) is aimed at assisting in the development of apps merging both LLMs and other sources of knowledge. The library allows chaining calls to applications, creating a sequence across many tools.
[langchain](https://github.com/langchain-ai/langchain) is aimed at assisting in the development of apps merging both LLMs and other sources of knowledge. The library allows chaining calls to applications, creating a sequence across many tools.
Keywords: LLMs, Large Language Models, Agents, Chains
## [LlamaIndex](https://github.com/jerryjliu/llama_index)
## [LlamaIndex](https://github.com/run-llama/llama_index)
[LlamaIndex](https://github.com/jerryjliu/llama_index) is a project that provides a central interface to connect your LLM's with external data. It provides various kinds of indices and retreival mechanisms to perform different LLM tasks and obtain knowledge-augmented results.
[LlamaIndex](https://github.com/run-llama/llama_index) is a project that provides a central interface to connect your LLM's with external data. It provides various kinds of indices and retreival mechanisms to perform different LLM tasks and obtain knowledge-augmented results.
Keywords: LLMs, Large Language Models, Data Retrieval, Indices, Knowledge Augmentation
@ -146,9 +146,9 @@ Keywords: Framework, simplicity, NLP
Keywords: LLM, Agents, HF Hub
## [transformers.js](https://xenova.github.io/transformers.js/)
## [transformers.js](https://github.com/huggingface/transformers.js/)
[transformers.js](https://xenova.github.io/transformers.js/) is a JavaScript library targeted at running models from transformers directly within the browser.
[transformers.js](https://github.com/huggingface/transformers.js/) is a JavaScript library targeted at running models from transformers directly within the browser.
Keywords: Transformers, JavaScript, browser
@ -437,7 +437,7 @@ Keywords: DALL-E, Russian
Keywords: Knowledge Extraction, Knowledge Graphs
## [Nebuly](https://github.com/nebuly-ai/nebuly)
## [Nebuly](https://github.com/nebuly-ai/optimate)
Nebuly is the next-generation platform to monitor and optimize your AI costs in one place. The platform connects to all your AI cost sources (compute, API providers, AI software licenses, etc) and centralizes them in one place to give you full visibility on a model basis. The platform also provides optimization recommendations and a co-pilot model that can guide during the optimization process. The platform builds on top of the open-source tools allowing you to optimize the different steps of your AI stack to squeeze out the best possible cost performances.