blog VS aici

Compare blog vs aici and see what are their differences.

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blog aici
1 6
26 1,756
- 7.5%
4.4 9.9
3 months ago 5 days ago
TypeScript Rust
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

blog

Posts with mentions or reviews of blog. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-15.

aici

Posts with mentions or reviews of aici. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-15.
  • HonoJS: Small, simple, and ultrafast web framework for the Edges
    9 projects | news.ycombinator.com | 15 Apr 2024
    Have you looked at AICI by Microsoft yet?

    https://github.com/microsoft/aici/

  • LLM4Decompile: Decompiling Binary Code with LLM
    6 projects | news.ycombinator.com | 17 Mar 2024
    I have been planning to work on something like this. I think that eventually, someone will crack the "binary in -> good source code out of LLM" pipeline but we are probably a few years away from that still. I say a few years because I don't think there's a huge pile of money sitting at the end of this problem, but maybe I'm wrong.

    A really good "stop-gap" approach would be to build a decompilation pipeline using Ghidra in headless mode and then combine the strict syntax correctness of a decompiler with the "intuition/system 1 skills" of an LLM. My inspiration for this setup comes from two recent advancements, both shared here on HN:

    1. AlphaGeometry: The Decompiler and the LLM should complement each other, covering each other's weaknesses. https://deepmind.google/discover/blog/alphageometry-an-olymp...

    2. AICI: We need a better way of "hacking" on top of these models, and being able to use something like AICI as the "glue" to coordinate the generation of C source. I don't really want the weights of my LLM to be used to generate syntactically correct C source, I want the LLM to think in terms of variable names, "snippet patterns" and architectural choices while other tools (Ghidra, LLVM) worry about the rest. https://github.com/microsoft/aici

    Obviously this is all hand-wavey armchair commentary from a former grad student who just thinks this stuff is cool. Huge props to these researchers for diving into this. I know the authors already mentioned incorporating Ghidra into their future work, so I know they're on the right track.

  • Show HN: Prompts as (WASM) Programs
    9 projects | news.ycombinator.com | 11 Mar 2024
    We believe Guidance can run on top of AICI (we're working on efficient Earley parser for that [0], together with local Guidance folks). AICI is generally lower level (though our sample controllers are at similar level to Guidance).

    [0] https://github.com/microsoft/aici/blob/main/controllers/aici...

  • AI Controller Interface (AICI)
    1 project | news.ycombinator.com | 9 Feb 2024

What are some alternatives?

When comparing blog and aici you can also consider the following projects:

orval - orval is able to generate client with appropriate type-signatures (TypeScript) from any valid OpenAPI v3 or Swagger v2 specification, either in yaml or json formats. 🍺

transformers-CFG - 🤗 A specialized library for integrating context-free grammars (CFG) in EBNF with the Hugging Face Transformers

pingora - A library for building fast, reliable and evolvable network services.

ghidra_tools - A collection of Ghidra scripts, including the GPT-3 powered code analyser and annotator, G-3PO.

Awesome-LLM-Productization - Awesome-LLM-Productization: a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization

sglang - SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.

deepcompyle - Pretraining transformers to decompile Python bytecodes