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cohere-aiは、GitHub上で多様なリポジトリを公開しており、主にPython、Jupyter Notebook、TypeScriptなどのプログラミング言語を使用しています。注目すべきリポジトリには、cohere-toolkitやcohere-pythonなどがあり、AIを活用したアプリケーションの開発を支援しています。公共の場での存在は、セキュリティと監査の観点から重要です。
Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.
Code examples and jupyter notebooks for the Cohere Platform
Python Library for Accessing the Cohere API
A simple Python sandbox for helpful LLM data agents
Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.
Efficient vector database for hundred millions of embeddings.
このリポジトリに関する説明は提供されていません。
Code for the paper "Fishing for Magikarp"
Conversational AI tooling & personas built on Cohere's LLMs
The Cohere TypeScript SDK
This open-source repository offers reference code for integrating workplace datastores with Cohere's LLMs, enabling developers and businesses to perform seamless retrieval-augmented generation (RAG) on their own data.
A sandbox repo for grounded question answering with Cohere and Google Search
A demonstration of how a toy (but usable!) semantic search engine can be quickly built using Cohere's platform.
Docs, Snippets, Guides
A tool that facilitates easy, efficient and high-quality fine-tuning of Cohere's models
Go Library for Accessing the Cohere API
このリポジトリに関する説明は提供されていません。
A demonstration of a multilingual semantic search engine you can be quickly built using Cohere's platform.
Cohere's Java SDK
Webpage Summarizer
Sample integrations built by Cohere.
Examples and Demos using the Cohere APIs
Code and data from the paper 'Human Feedback is not Gold Standard'
Provides an SDK for interacting with Compass, and Compass Parsing
An sdk for creating MCP Servers with north
Public demos using the Cohere platform!
BPE tokenization implemented in Golang 💙
webrpc is a schema-driven approach to writing backend services for modern Web apps and systems
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.
Trusted Network Gateway: A tool for establishing secure communication tunnels in confidential computing.
Templating rendering and generation parsing for Cohere models.
This repository contains the code for our paper: "On the Efficacy of Self-reflection for Improving LLM Agent Planning".
このリポジトリに関する説明は提供されていません。
A GitHub Action that adds opinionated comments to a PR from Terraform fmt/init/plan output
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
このリポジトリに関する説明は提供されていません。
Confidential Containers Guest Tools and Components
このリポジトリに関する説明は提供されていません。
このリポジトリに関する説明は提供されていません。
Expanding natural instructions
Examples and recipes for Llama 2 model
Minimal forward authentication service that provides Google/OpenID oauth based login and authentication for the traefik reverse proxy
samples-golang
Ability to create Kata pods using cloud provider APIs aka the peer-pods approach
MCP server for Atlassian tools (Confluence, Jira)
Automatically mock your HTTP interactions to simplify and speed up testing
A CLI tool for bcrypt - hash a password, determine if password matches a hash, compute cost of hash
このリポジトリに関する説明は提供されていません。
LLM inference in C/C++
Fast and secure standalone server for resizing and converting remote images
Go bindings for HuggingFace Tokenizer
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Terraform Oracle Cloud Infrastructure (OCI) Identity and Access Management (IAM) modules that help with the implementation of CIS (Center for Internet Security) OCI Foundations Benchmark recommendations.
This repository contains Terraform OCI (Oracle Cloud Infrastructure) modules for Governance related resources that help customers align their OCI implementations with the CIS (Center for Internet Security) OCI Foundations Benchmark recommendations.
Terraform Oracle Cloud Infrastructure (OCI) Observability modules that help with the implementation of CIS (Center for Internet Security) OCI Foundations Benchmark recommendations.
Terraform Oracle Cloud Infrastructure (OCI) Security modules that help with the implementation of CIS (Center for Internet Security) OCI Foundations Benchmark recommendations.
A research project for generating phishing outputs from LLMs using Generative AI
🦜🔗 Build context-aware reasoning applications
🪿 LinGoose it's a Go framework for developing LLMs-based application using pipelines
Efficient few-shot learning with Sentence Transformers
cohere-aiは、AIプラットフォームに関連するツールやライブラリを開発しています。主なリポジトリには、cohere-toolkitやcohere-pythonが含まれ、これらはAIアプリケーションの構築に役立ちます。
cohere-aiは主にPython、Jupyter Notebook、TypeScript、Go、HCL、Rustを使用しています。これらの言語は、AI関連のプロジェクトにおいて幅広く利用されています。
はい、cohere-aiのリポジトリは公開されています。これにより、ユーザーや開発者がリポジトリにアクセスし、AI技術を活用するためのリソースを利用することができます。