GitHub - google-gemini/cookbook: A collection of guides and examples for the Gemini API.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - promptfoo/promptfoo: Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/
promptfoo is a tool for testing and evaluating LLM output quality. With promptfoo, you can: Systematically test prompts, models, and RAGs with predefined test cases Evaluate quality and catch regressions by comparing LLM outputs side-by-side Speed up evaluations with caching and concurrency Score outputs automatically by defining test cases Use as a CLI, library, or in CI/CD Use OpenAI, Anthropic,
GitHub - langgenius/dify: Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to p
Dify Cloud · Self-hosting · Documentation · Enterprise inquiry Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features: 1. Workflow: Build and test powerful AI workflows on a visual ca
Using GitHub Copilot in your IDE: Tips, tricks and best practices
AI has become an integral part of my workflow these days, and with the assistance of GitHub Copilot, I move a lot faster when I’m building a project. Having used AI tools to increase my productivity over the past year, I’ve realized that similar to learning how to use a new framework or library, we can enhance our efficiency with AI tools by learning how to best use them. In this blog post, I’ll s
GitHub、Copilotでより高い精度のコードを生成させる方法を指南。関連ファイルを開く、トップレベルのコメントを書くなど
GitHub、Copilotでより高い精度のコードを生成させる方法を指南。関連ファイルを開く、トップレベルのコメントを書くなど 記事の中で、プログラマが意図したコードを高い精度で生成AIに生成させるためのテクニックがいくつも紹介されています。これらのテクニックはCopilotに限らず、生成AIを用いてコードを生成させる際の参考になると思われます。 この記事では、紹介されているテクニックのポイントをまとめてみました。 GitHub Copilotでよりよいコードを生成するためのポイント 生成AI活用の基本として説明されたのは、大規模言語モデルを用いた生成AIでは、コンテキスト（文脈）に基づいて予測を行うように設計されているため、生成AIに対する入力やプロンプトがコンテキストに富んでいるほど良い出力が得られる、という原則です。 それゆえ、GitHub CopilotおよびGitHub Copi
GitHub - microsoft/azurechat: 🤖 💼 Azure Chat Solution Accelerator powered by Azure Open AI Service
Azure Chat Solution Accelerator powered by Azure Open AI Service Azure Chat Solution Accelerator powered by Azure Open AI Service is a solution accelerator that allows organisations to deploy a private chat tenant in their Azure Subscription, with a familiar user experience and the added capabilities of chatting over your data and files. Benefits are: Private: Deployed in your Azure tenancy, allow
GitHub - snakajima/SlashGPT
SlashGPT is a playground for developers to make quick prototypes of LLM agents (or apps with Natural Language UI). Here are the design goals: Extremely easy to create a new LLM agent. You just need to add a new manifest file (in Json or YAML). Instantly switch among agents, by just typing "/{agent_name}" Extensible enough so that it is possible to implement most of LLM agents without writing any c
GitHub - jupyterlab/jupyter-ai: A generative AI extension for JupyterLab
Jupyter AI is under incubation as part of the JupyterLab organization. Jupyter AI connects generative AI with Jupyter notebooks. Jupyter AI provides a user-friendly and powerful way to explore generative AI models in notebooks and improve your productivity in JupyterLab and the Jupyter Notebook. More specifically, Jupyter AI offers: An %%ai magic that turns the Jupyter notebook into a reproducible
GitHub - MineDojo/Voyager: An Open-Ended Embodied Agent with Large Language Models
We introduce Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention. Voyager consists of three key components: 1) an automatic curriculum that maximizes exploration, 2) an ever-growing skill library of executable code for storing and retrieving complex behavio
GitHub Copilot X：AIを搭載した開発者体験
GitHub Copilotは、チャットや音声インターフェイスの組み込み、Pull Requestのサポート、ドキュメントに関する質問への回答、OpenAIのGPT-4の採用など、よりパーソナライズした開発者体験を提供できるよう進化を遂げています。 GitHubのミッションは常に、時代の先を行くイノベーションを起こし、ソフトウェアで強化された世界で、開発者がより幸せかつ生産的になるために必要なものを提供することです。数年前に大規模言語モデルの実験を開始し、生成系AIはソフトウェア開発の未来を象徴する存在であることがすぐに明らかになりました。GitHubはOpenAIと提携して、GPT-3の子孫であるOpenAIのCodexモデルを使用した世界初の大規模な生成系AI開発ツールとしてGitHub Copilotを開発しました。 GitHub Copilotは、コメントやコードを自動補完すること
GitHub Copilot X: The AI-powered developer experience
ProductGitHub Copilot X: The AI-powered developer experienceGitHub Copilot is evolving to bring chat and voice interfaces, support pull requests, answer questions on docs, and adopt OpenAI’s GPT-4 for a more personalized developer experience. At GitHub, our mission has always been to innovate ahead of the curve and give developers everything they need to be happier and more productive in a world p
［速報］「GitHub Copilot X」発表、GPT-4ベースで大幅強化。AIにバグの調査依頼と修正案を指示、ドキュメントを学習し回答も
［速報］「GitHub Copilot X」発表、GPT-4ベースで大幅強化。AIにバグの調査依頼と修正案を指示、ドキュメントを学習し回答も GitHubは、GTP-4をベースに「GitHub Copilot」の機能を大幅に強化した「GitHub Copilot X」を発表しました。 GitHub Copilot is already helping developers code faster in their IDEs. But what’s next? Our answer is GitHub Copilot X. It’s our vision for the future of AI-powered software development. Check it out https://t.co/3Xrn7dAPgi — GitHub (@github) March 22, 202
GitHub - tloen/alpaca-lora: Instruct-tune LLaMA on consumer hardware
🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface! Users have created a Discord server for discussion and support here 4/14: Chansung Park's GPT4-Alpaca adapters: #340 This repository contains code for reproducing the Stanford Alpaca results using low-rank adaptation (LoRA). We provide an Instruct model of similar quality to text-davinci-003 that can run on a Raspberry
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GitHub - dai-motoki/zoltraak
GitHub - huggingface/chat-ui: Open source codebase powering the HuggingChat app
GitHub - aws-samples/jp-rag-sample: このソリューションは AWS 上で検索用途の Retrieval Augmented Generation (RAG) を構築するサンプルコードです。
GitHub - rkmt/summarize_arxv
GitHub - leetcode-mafia/cheetah: Mac app for crushing remote tech interviews with AI
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GitHub - Kent0n-Li/ChatDoctor
