You misunderstand. The covered model threshold includes flops used in the base model, not just amount used for fine-tuning. So in a few years, nearly all significant models and all fine tunes of them will be covered.
LLMS
-
Upcoming Claude AI updates to feature GitHub integration and coding tools
By
–
Anthropic is working on Github sync for Claude Projects! Imagine this + a potential native app Loads of upcoming features on Claude will be for coding:
– Folder / Github sync
– Artefacts Improve/Explain
– Screenshots option -
Solar-Powered Datacenters for AI Inference: Business Model Analysis
By
–
What do you think about this business model? Find cheap unused land with high sun exposure (e.g. desert areas) Build there solar farms and datacenters (for AI/LLM inference; using either ASICs for high energy efficiency or GPUs) Use solar to power these datacenters
-
Supervised and Instruction Fine-Tuning: Terminology Clarification
By
–
Personally, I use supervised fine-tuning and instruction fine-tuning interchangeably. It bothered me last year because it wasn't super clear, but it feels like this is how it's used in the literature now
-
Audio Models vs Speech Recognition: Practical Benefits Analysis
By
–
I'm curious about audio models like this — I know there's a lot of excitement about them, but I don't get it yet. Do you find in practice it frequently gives you benefits over doing speech recognition and a text model?
-
Training Large Language Models with 1000 H100 GPUs
By
–
GitHub – srush/LLM-Training-Puzzles: What would you do with 1000 H100s… https://
bit.ly/4bCz4yb
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Perplexity testing new dedicated data management section for workspaces
By
–
Perplexity may also get a dedicated "Data" section available in settings. There you can browse existing and upload new files for Your own and Organisation workspaces This page is still very WIP
-
User preference and availability of AI image generation models
By
–
Yes, I like it more than Dalle now. The main question is – when it will be available on Gemini. And hopefully, it will bring image gen to EU as well
-
Anthropic introduces Improve and Explain features for coding in Artifacts
By
–
Anthropic is working on a new feature to help you get better at coding.
— 🚨 AI News | TestingCatalog (@testingcatalog) 9 août 2024
Selecting a part of the code in the Artefact will trigger a pop-up with two options: Improve or Explain.
Improve works like "in-painting" but for coding. https://t.co/17MJk4jWkL pic.twitter.com/7gKp21VwpQAnthropic is working on a new feature to help you get better at coding. Selecting a part of the code in the Artefact will trigger a pop-up with two options: Improve or Explain. Improve works like "in-painting" but for coding.