modelfusion
depot.ai
| modelfusion | depot.ai | |
|---|---|---|
| 18 | 3 | |
| 984 | 81 | |
| 8.9% | - | |
| 9.9 | 7.7 | |
| 8 days ago | 11 days ago | |
| TypeScript | TypeScript | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
modelfusion
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Next.js and GPT-4: A Guide to Streaming Generated Content as UI Components
ModelFusion is an AI integration library that I am developing. It enables you to integrate AI models into your JavaScript and TypeScript applications. You can install it with the following command:
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Effortlessly Generate Structured Information with Ollama, Zod, and ModelFusion
ModelFusion is an open-source library I'm developing to integrate AI models seamlessly into TypeScript projects. It provides an Ollama client and a generateStructure function.
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Create Your Own Local Chatbot with Next.js, Ollama, and ModelFusion
ModelFusion: ModelFusion is a library for building multi-modal AI applications that I've been working on. It provides a streamText function that calls AI models and returns a streaming response. ModelFusion also contains an Ollama integration that we will use to access the OpenHermes 2.5 Mistral model.
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PDF Chat with Node.js, OpenAI and ModelFusion
You can find the complete code for the chatbot here: github/com/lgrammel/modelfusion/examples/pdf-chat-terminal
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Ask HN: Tell us about your project that's not done yet but you want feedback on
I’m working on ModelFusion, a TypeScript library for working with AI models (llm, image, etc.)
https://github.com/lgrammel/modelfusion
It is only getting limited traction so I’m wondering if I’m missing something fundamental with the approach that I’m taking.
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LangChain Agent Simulation – Multi-Player Dungeons and Dragons
If you work with JS or TS, check out this alternative that I've been working on:
https://github.com/lgrammel/modelfusion
It lets you stay in full control over the prompts and control flow while make a lot of things easier and more convenient.
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Introducing ModelFusion: Build AI apps with JavaScript and TypeScript.
The response also contains additional information such as the metadata and the full response. The ModelFusion documentation contains many examples and demo apps.
- Show HN: AI-utils.js – TypeScript-first lib for AI apps, chatbots, and agents
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ai-utils.js VS langchainjs - a user suggested alternative
2 projects | 26 Jul 2023
- ai-utils.js: TypeScript-first library for building AI apps, chatbots, and agents.
depot.ai
- GitHub - depot/depot.ai: Embed machine learning models in your Dockerfile
- Depot.ai – Docker registry for public machine learning models
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Show HN: depot.ai – easily embed ML / AI models in your Dockerfile
To optimize build speed, cache hits, and registry storage, we're building each image reproducibly and indexing the contents with eStargz[0]. The image is stored on Cloudflare R2, and served via a Cloudflare Worker. Everything is open source[1]!
Compared to alternatives like `git lfs clone` or downloading your model at runtime, embedding it with `COPY` produces layers that are cache-stable, with identical hash digests across rebuilds. This means they can be fully cached, even if your base image or source code changes.
And for Docker builders that enable eStargz, copying single files from the image will download only the requested files. eStargz can be enabled in a variety of image builders[2], and we’ve enabled it by default on Depot[3].
Here’s an announcement post with more details: https://depot.dev/blog/depot-ai.
We’d love to hear any feedback you may have!
[0] https://github.com/containerd/stargz-snapshotter/blob/main/docs/estargz.md
[1] https://github.com/depot/depot.ai
[2] https://github.com/containerd/stargz-snapshotter/blob/main/docs/integration.md#image-builders
[3] https://depot.dev
What are some alternatives?
langchainjs - 🦜🔗 Build context-aware reasoning applications 🦜🔗
stargz-snapshotter - Fast container image distribution plugin with lazy pulling
langroid - Harness LLMs with Multi-Agent Programming
llm.ts - Call any LLM with a single API. Zero dependencies.
aipl - Array-Inspired Pipeline Language
obsidian-textgenerator-plugin - Text generator is a handy plugin for Obsidian that helps you generate text content using GPT-3 (OpenAI).
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
cli - 🖥️ Depot CLI, build your Docker images in the cloud
async-interval-job - ✨ setInterval for promises and async/sync functions. Support graceful shutdown and prevent multiple executions from overlapping in time.
build-push-action - GitHub Action to build and push Docker images with Depot
chatflow - Leveraging LLM to build Conversational UIs
deep-chat - Fully customizable AI chatbot component for your website