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  • GitHub - modelcontextprotocol/servers: Model Context Protocol Servers

    Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. 2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention. ActionKit by Paragon - Connect to 130+ SaaS inte

      GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
    • Patterns for Building LLM-based Systems & Products

      Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”

        Patterns for Building LLM-based Systems & Products
      • Amazon Bedrock now provides access to Meta’s Llama 2 Chat 13B model | Amazon Web Services

        AWS News Blog Amazon Bedrock now provides access to Meta’s Llama 2 Chat 13B model Update: November 29, 2023 — Today, we’re adding the Llama 2 70B model in Amazon Bedrock, in addition to the already available Llama 2 13B model. As its name implies, the Llama 2 70B model has been trained on larger datasets than the Llama 2 13B model. If you’re wondering when to use which model, consider using Llama

          Amazon Bedrock now provides access to Meta’s Llama 2 Chat 13B model | Amazon Web Services
        • AI Canon | Andreessen Horowitz

          Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have h

            AI Canon | Andreessen Horowitz
          • Transformer models: an introduction and catalog — 2023 Edition

            Transformer models: an introduction and catalog — 2023 Edition January 16, 2023 52 minute read This post is now an ArXiV paper that you can print and cite. Update 05/2023 Another pretty large update after 4 months. I was invited to submit the article to a journal, so I decided to enlist some help from some LinkedIn colleages and completely revamp it. First off, we added a whole lot of new models,

              Transformer models: an introduction and catalog — 2023 Edition
            • Large Language Models for Code (Code LLMs)と自然言語推論、ソースコードの関係について - Preferred Networks Tech Blog

              GPT-4が67%という突出したスコアを出しています。Codegen[^3]やStarcoder[^4]などの重みが公開されているモデルは2割から4割程で大きく後れを取っていたのですが、2023年の8月にLlama2[^16]やStarcoder[^4]をチューニングして作成されたWizard[^17], Code Llama[^18]が50%,60%台のスコアを出し、CodeLLMにおいてはチューニングが注目されています。特に、WizardやCode Llamaによってチューニングの中でも指示チューニングがHumanEvalのスコアを伸ばす事が確認されており、指示チューニングとCode LLMの関係が気になるところです。 Code LLMの自然言語指示チューニング CodeLLMが指示チューニングによってなぜスコアを大きく伸ばせるかが気になりました。我々はCodeLLMモデル自体に自然言

                Large Language Models for Code (Code LLMs)と自然言語推論、ソースコードの関係について - Preferred Networks Tech Blog
              • So you want to build your own open source ChatGPT-style chatbot… – Mozilla Hacks - the Web developer blog

                So you want to build your own open source ChatGPT-style chatbot… (Expanded from a talk given at DWeb Camp 2023.) Artificial intelligence may well prove one of the most impactful and disruptive technologies to come along in years. This impact isn’t theoretical: AI is already affecting real people in substantial ways, and it’s already changing the Web that we know and love. Acknowledging the potenti

                  So you want to build your own open source ChatGPT-style chatbot… – Mozilla Hacks - the Web developer blog
                • Microsoftのguidanceの日本語まとめ|にょす

                  MicrosoftがguidanceというLangChainのオルタナティブとなるかもしれないOSSを発表しました。 Readmeを参考に、内容を日本語でまとめていきます。 GuidanceとはGuidanceは、従来のプロンプトやCoTよりも、現代の言語モデルを効果的かつ効率的に制御することができます。Guidanceのプログラムを使うと、生成、プロンプト、論理制御を一つの連続した流れに組み込むことができます。 これは、言語モデルが実際にテキストを処理している方法に適合しています。Chain of Thought やその多くのバリエーション(例えば、ART、Auto-CoT など)のようなシンプルな出力構造は、LLM の性能向上に役立つことが示されています。GPT-4 のようなより高性能なLLMの登場により、さらに豊かな構造が可能となり、ガイダンスを使えばその構造をより簡単かつ安価に実現

                    Microsoftのguidanceの日本語まとめ|にょす
                  • GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT and OpenAI API

                    awesome-chatgpt-api - Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota. awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better. awesome-chatgpt - Curated list of awesome tools, demos, docs for ChatGPT and GPT-3 awesome-totally-open-chat

                      GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT and OpenAI API
                    • Building A Fintech Solution

                      FinTech stands for Finance Technology, and a Fintech company is a company that uses technology to solve customers’ financial needs. A career in a Fintech company can be very lucrative, and knowing the basics about building an app for a Fintech solution can open doors to many good opportunities. This article will discuss the subcategories of startups in the Fintech space, with a few Japanese exampl

                        Building A Fintech Solution
                      • ChainForge: A visual programming environment for prompt engineering

                        ⛓ ChainForge ChainForge is an open-source visual programming environment for prompt engineering. With ChainForge, you can evaluate the robustness of prompts and text generation models in a way that goes beyond anecdotal evidence. We believe prompting multiple LLMs, comparing their responses and testing hypotheses about them should be not only easy, but fun. To learn more, read our documentation. T

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