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An inspiration engine for ideas

π
6 months, 176,384 ++, 116,777 --
π oRPC 1.0.0-beta.1 now available
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Typesafe Input/Output/Errors/File/Streaming
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Tanstack query (React, Vue, Solid, Svelte)
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React Server Action
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(Optional) Contract First Dev
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OpenAPI Spec
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... See more
A tiny protocol to stream data over QR codes in both directions at once. Each device confirms receipt of the previous chunk, so it handles interruptions smoothly. Made this for webRTC signalling and other things as part of the Folk Canvas project with @chrisshank23 https://t.co/qK9zCf3Aky
Orion Reedx.com
Anthropic made the right move.
MCP's can now be fully stateless, resumable, and implemented with just plain HTTP with this RFC.
(link in reply)
GitHub - 9001/copyparty: Portable file server with accelerated resumable uploads, dedup, WebDAV, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file, no deps
github.com

The Party Protocol is the most powerful protocol for onchain groups.
It's designed and built to cover the full lifecycle of group formation, coordination, and distribution.
Let's cover each part and what it enables... https://t.co/RDgosmm0ah
Our Goals
We made it lightweight and kept the efficiency in mind:
We made it lightweight and kept the efficiency in mind:
- Self-contained
We ship a single dependency-free binary that runs on all Linux distributions - Fast to deploy, safe to operate
We are sysadmins, we know the value of operator-friendly software - Deploy everywhere on every machine
We do not have a dedicated backbone, and neither do you,
so
Garage - An open-source distributed object storage service
This dataset is an attempt to replicate the results of Microsoft's Orca
Our dataset consists of:
~1 million of FLANv2 augmented with GPT-4 completions (flan1m-alpaca-uncensored.jsonl)
~3.5 million of FLANv2 augmented with GPT-3.5 completions (flan5m-alpaca-uncensored.jsonl)
We followed the submix and system prompt distribution outlined in the Orca pape... See more
Our dataset consists of:
~1 million of FLANv2 augmented with GPT-4 completions (flan1m-alpaca-uncensored.jsonl)
~3.5 million of FLANv2 augmented with GPT-3.5 completions (flan5m-alpaca-uncensored.jsonl)
We followed the submix and system prompt distribution outlined in the Orca pape... See more
ehartford/dolphin Β· Datasets at Hugging Face
LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.
π Table of contents
π Table of contents
- π Table of contents
- π³ Features
- π Models
- πββοΈ Getting started with Docker
- Launch LoRAX Server
- Prompt via REST API
- Prompt via Python