Lmst

rustlang

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rustlang boosted:

#opensource WizardLM2 8x22B exceeds performance of GPT4 in some benchmarks

- Apache2 👍
- progressive learning instead of all-at-once means less power-hungry and more data efficient during training
- Co-Teaching and Self-Teaching are intriguing, I want to hear more
- from Microsoft #AI, I imagine GPT5 must be nigh, if they’re releasing competition for GPT4

https://wizardlm.github.io/WizardLM2/ #LLMs

This image depicts four separate conceptual frameworks related to AI training and development. Here's a breakdown of each panel:

1. **Fully AI Powered Synthetic Training System**: Shows a process where source data is analyzed based on various factors (such as topic, language, source, etc.), weighted, and then distributed into seed data which is used for further partitioning and input into an AI system called WizardLM-2.

2. **Learning**: Outlines a training progression for an AI system named WizardLM-α, starting with SFT (probably Supervised Fine-Tuning), then moving to Stage-DPO, followed by RLEIF (potentially another form of iterative learning), with PPO (Proximal Policy Optimization, a reinforcement learning approach) being the final stage.

3. **Evol-Lab**: Depicts an iterative process involving chat, reasoning, and language learning capabilities to enhance an AI agent, feeding into a system called Evol-Instruct and Evol-Answer, suggesting an evolutionary approach to developing AI's interactive abilities.

4. **AI Align AI (AAA)**: Illustrates a co-teaching method where two AI systems, WizardLM-α and WizardLM-β, interact with each other and with a human, including self-teaching components, aiming for alignment between AI systems and possibly human values or goals.

Each panel seems to represent different aspects or methodologies in AI research and development, focusing on the evolution, interaction, and refinement of AI systems.

https://github.com/sigoden/aichat Use GPT-4(V), Gemini, LocalAI, Ollama and other LLMs in the terminal. Convenient command line tool by Rust.

A curated list of command-line utilities written in Rust.

https://github.com/sts10/rust-command-line-utilities

rustlang boosted:

TIP: Don’t forget we have RSS feeds for new tools & on our blog below.

https://terminaltrove.com/new/

https://terminaltrove.com/blog/

We also have a newsletter here:

https://terminaltrove.com/newsletter/

Whichever you choose we’ll keep you posted!

rustlang boosted:

Why Rust for serverless/cloud native apps? Choose 9/9:

- Cost efficiency
- Low latency
- Memory efficiency
- Memory safety
- Environmental sustainability
- Fewer runtime errors
- Easy deployments
- Developer happiness
- Customer happiness

#rust #rustlang #serverless #cloudnative

Can this work? 😀

@chatgpt nice idea.

rustlang boosted:

What Is ChatGPT Doing … and Why Does It Work? Long and good article from #stephenwolfram https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ #chatGPT

rustlang boosted:

A brief history of Rust, a programming language that emerged from a side project and has been instrumental in driving the shift toward memory safe programming (Clive Thompson/MIT Technology Review)

https://www.technologyreview.com/2023/02/14/1067869/rust-worlds-fastest-growing-programming-language/
http://www.techmeme.com/230216/p1#a230216p1

https://rusting.substack.com/

Client Info

Server: https://mastodon.social

Version: 2025.04

Repository: https://github.com/cyevgeniy/lmst