IMO, even if they go closed-source at some point, they contributed to sharing research and open-source for a few years so it's a net positive (contrary to organizations that never contribute). Do you feel differently?
GENERATIVE AI
-
Practical tip for processing large files with Claude
By
–
As you can see on the first screenshot, Claude allows uploading exactly the same file. Later on, you can prompt Claude to extract more and more parts out of it chunk by chunk.
-
Technical limitations of AI model context windows
By
–
This is how it looks currently if you try to upload a file that exceeds the 200k context window. The same would happen if you try to upload it into a project as a knowledge base.
-
Anthropic testing reference files to bypass context window limitations
By
–
BREAKING : Anthropic is working on reference files support that potentially will allow users to work with files that are larger than Claude's context window! Disclaimer: This feature is not released yet I only had a chance to play with it now. Why may be a big deal
-
Creating Training Data for Llama: Scale and Meta Partnership
By
–
Creating the training data for Llama
— Cerebras (@cerebras) 4 octobre 2024
In this fireside interview, Sophia Luo, a current Greylock Partner and previous Scale Senior PM shares on the long-going Scale and Meta partnerships. She discusses the challenges around creating data to train LLMs like llama, and how this was… pic.twitter.com/adTiAnkQL1Creating the training data for Llama In this fireside interview, Sophia Luo, a current Greylock Partner and previous Scale Senior PM shares on the long-going Scale and Meta partnerships. She discusses the challenges around creating data to train LLMs like llama, and how this was
-
Model2Vec: Distill Fast Models from Sentence Transformers
By
–
GitHub – MinishLab/model2vec: Model2Vec: Distill a Small Fast Model from any Sentence Transformer https://
bit.ly/4dpAdtX
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Meta Movie Gen: Video Generation, Editing, and Audio Capabilities
By
–
More examples of what Meta Movie Gen can do across video generation, precise video editing, personalized video generation and audio generation. pic.twitter.com/Dz65QGNgaJ
— AI at Meta (@AIatMeta) 4 octobre 2024More examples of what Meta Movie Gen can do across video generation, precise video editing, personalized video generation and audio generation.
-
Movie Gen Models and Capabilities Details Shared
By
–
We’ve shared more details on the models and Movie Gen capabilities in a new blog post ➡️ https://t.co/J1dwK6p1jT pic.twitter.com/w0U3WZxmLm
— AI at Meta (@AIatMeta) 4 octobre 2024We’ve shared more details on the models and Movie Gen capabilities in a new blog post https://
go.fb.me/4b6eii -
AI Models for Global Language Preservation and Inclusion
By
–
We're on a mission to preserve all languages across the globe. With the help of #AI, here are the five steps we take when building Language Inclusion models. Learn more about how it works ➡️ https://t.co/bgrnJRXL5a pic.twitter.com/JJgC0uWVOq
— Google AI (@GoogleAI) 4 octobre 2024We're on a mission to preserve all languages across the globe. With the help of #AI, here are the five steps we take when building Language Inclusion models. Learn more about how it works https://
goo.gle/3XIhbJm -
AI-Powered Analytics Solutions Eliminate Data Barriers
By
–
Empower knowledge workers to answer their own data questions at the speed of business. Join the #AlteryxVirtualSummit to learn from #AnalyticsExperts how to eliminate barriers between data and insights with AI-based analytics solutions. Attend: https://
ow.ly/2aBT50TBRtA