
Trieve Vector Inference
Deploy fast, unmetered embedding inference in your own VPC
Trieve Vector Inference launched on November 21, 2024 with 168 votes, #255 of 4,990 launches that month and more than 90% of that year's launches.
What it does
TVI is an in-VPC solution for fast, unmetered embedding inference. Get fastest-in-class embeddings using any private, custom, or open-source models from dedicated embedding servers hosted in your own cloud. Battle-tested by billions of documents and queries.
Does a similar job
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Speeding up LLM inference 2x times (possibly)2024 · asciinema.org · ▲419Here's a project I've been working on for the last few months. It's a new (I think) algorithm, that allows to adjust smoothly - and in real time - how many calculations you'd like to do during inference of an LLM model. It seems that it's possible to do just 20-25% of weight multiplications instead of all of them, and still get good inference results. I implemented it to run on M1/M2/M3 GPU. The mmul approximation itself can be pushed to run 2x fast before the quality of output collapses. The inference speed is just a bit faster than Llama.cpp's, because the rest of implementation…
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Prompts as WASM Programs2024 · github.com · ▲209AICI is a proposed common interface between LLM inference engines (llama.cpp, vLLM, HF Transformers, etc.) and "controllers" - programs that can constrain the LLM output according to regexp, grammar, or custom logic, as well as control the generation process (forking, backtracking, etc.). AICI is based on Wasm, and is designed to be fast (runs on CPU while GPU is busy), secure (can run in multi-tenant cloud deployments), and flexible (allow libraries like Guidance, LMQL, Outlines, etc. to work on top of it). We (Microsoft Research) have released it recently, and would love feedback on the…

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