The Best Open-Source Generative AI Models Discover the top open-source #GenerativeAI tools in this detailed overview, which examines the benefits of adopting #opensource solutions for enhanced customization, cost-effectiveness, and #community support.
OPEN SOURCE
-
LLaMA 3 70B Now Available on HyperWrite Premium
By
–
If you have an active @HyperWriteAI Premium or Ultra subscription, and want access to the model, DM me your account email and I’ll make sure you get access. Matt Shumer (@mattshumer_) LLaMA 3 70B is live on @HyperWriteAI! A custom version I've been working on for weeks. – writes more like a human than any other model – can access real-time info Crushing every other model, including GPT-4, in user preference tests. 🤯Seriously, look at the writing quality: — https://nitter.net/mattshumer_/status/1787650529067175968#m
→ View original post on X — @hyperwriteai, 2024-05-07 04:18 UTC
-
Meta’s Sub-$5K LLM Training Outperforms GPT-4 and Opus
By
–
You don’t need billions of $$ to make amazing LLMs anymore. Meta made sure of that. Better than Opus and GPT-4, and we trained it for under $5K.
-
Running LLMs locally on MacBook M1 with Ollama
By
–
Running on Macbook M1 pro (16GB RAM) using the @ollama and @OpenInterpreter.
— Shubham Saboo (@Saboo_Shubham_) 7 mai 2024
If you find this useful, RT to share it with your friends.
Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.https://t.co/Pg19tVLE6FRunning on Macbook M1 pro (16GB RAM) using the @ollama and @OpenInterpreter
. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials. -
OpenInterpreter with Llama-3 Running Locally Free
By
–
OpenInterpreter with Llama-3 running locally on your computer (100% free and without internet): pic.twitter.com/MEWAbaLGpo
— Shubham Saboo (@Saboo_Shubham_) 7 mai 2024OpenInterpreter with Llama-3 running locally on your computer (100% free and without internet):
-
HyperWrite launches custom LLaMA 3 70B outperforming GPT-4
By
–
LLaMA 3 70B is live on @HyperWriteAI! A custom version I've been working on for weeks. – writes more like a human than any other model – can access real-time info Crushing every other model, including GPT-4, in user preference tests. 🤯Seriously, look at the writing quality:
→ View original post on X — @hyperwriteai, 2024-05-07 01:07 UTC
-
Break OpenAI Dependency: Fine-tune Open-source LLMs at Virtual Conference
By
–
Join us at the the upcoming #GenAI Tools, Infra & Open-source Virtual Conference hosted by the team at @MLOpsWorld
. We'll show you how to break your dependency on #OpenAI by fine-tuning small open-source #LLMs! Save your spot – it's free to attend: https://
pbase.ai/3UDoTTI! -
Homegrown Large Language Models: Building Local LLM Solutions
By
–
The Case of Homegrown Large Language Models: Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the… https://
kdnuggets.com/the-case-of-ho
megrown-large-language-models?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=the-case-of-homegrown-large-language-models
… -
Legacy ML Framework Dependencies and GPU Compatibility Challenges
By
–
Running those old configs today would be hard. They need pylearn2, pylearn2 needs an old version of theano, old versions of theano need old versions of CUDA, old versions of CUDA need old GPUs.
-
First GAN Config File: Historical Artifact and Reproducibility Challenge
By
–
After I graduated I made my personal private repo from grad school public. So I think the first ever GAN config file was this one: https://
github.com/goodfeli/galat
ea/blob/master/adversarial/adversary.yaml
… Full provenance is not preserved (what pylearn2 version, theano version, CUDA version, libc version etc was I running?)