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TypeChat Alternatives
Similar projects and alternatives to TypeChat
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guidance
Discontinued A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance] (by microsoft)
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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CopilotKit
Discontinued Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps. [Moved to: https://github.com/CopilotKit/CopilotKit] (by RecursivelyAI)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
TypeChat reviews and mentions
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Fuck You, Show Me the Prompt
Not sure it's related to function calling. GPT4 can do function calling without using the specific function-calling API just by injecting the schema you want into the prompt with directions and asking it to return JSON. It works like >99% of the time. Same with 3.5-turbo.
The problem is these libraries convert pydantic models into json schemas and inject them into the prompt, which uses up like 80% more tokens than just describing the schema using typescript type syntax for example. See https://microsoft.github.io/TypeChat/, where they prompt using typescript type descriptions to get json data from LLMs. It's similar to what we built but with more boilerplate.
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Semantic Kernel
Semantic Memory (renamed to Kernel Memory - https://github.com/microsoft/kernel-memory) complements SK. Guidance's features are being absorbed into SK, following the departure of that team from Microsoft. Additionally, we have TypeChat (https://github.com/microsoft/TypeChat), which aims to ensure type-safe responses from LLMs. Most features of Autogen are also being integrated into SK, along with Assistants. SK serves as the orchestration engine powering Microsoft Copilots.
- Good LLM Validation Is Just Good Validation
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Show HN: Symphony – Make functions invokable by GPT-4
I tried TypeChat for my use case and ended up defining functions as typescript data types. This approach sounds much better, and leverages the newer OpenAI function calling, which should be more reliable I would think. Thanks for creating+sharing.
https://microsoft.github.io/TypeChat/
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Show HN: LLMs can generate valid JSON 100% of the time
That re-prompting error on is what this new Microsoft library does, too: https://github.com/microsoft/TypeChat
Here's their prompt for that: https://github.com/microsoft/TypeChat/blob/c45460f4030938da3...
I think the approach using grammars (seen here, but also in things like https://github.com/ggerganov/llama.cpp/pull/1773 ) is a much more elegant solution.
- TypeChat replaces prompt engineering with schema engineering
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Introducing TypeChat from Microsoft
I'm very surprised that they're not using `guidance` [0] here.
It not only would allow them to suggest that required fields be completed (avoiding the need for validation [1]) and probably save them GPU time in the end.
There must be a reason and I'm dying to know what it is! :)
[0] https://github.com/microsoft/guidance
[1] https://github.com/microsoft/TypeChat/blob/main/src/typechat...
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A note from our sponsor - InfluxDB
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microsoft/TypeChat is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of TypeChat is TypeScript.
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