
Transfusion is a state-of-the art approach at advancing text and image modalities
Transfusion is a state-of-the art approach at advancing text and image modalities
With the release of Llama 3.1, Mark Zuckerberg has established himself as the king of open-source AI. Contrary to popular belief, Zuckerberg has admitted that the pursuance of an open-source
Developers can run inference on Llama 3.1 405B on their own infrastructure at roughly 50% of the cost of using closed models like GPT-4o.
“I think that open source AI is going to become the industry standard just like Linux did. “
The AI-powered tool, built on Meta’s Llama 3, aims to help users with tasks like planning, learning, creating content and connecting with others.
Meta believes that access to state-of-the-art AI creates opportunities for everyone – not just a small handful of Big Tech companies.
The study, exploring “Transformers on Individual Pixels,” challenges the long-held belief that locality – the notion that neighboring pixels are more related than distant ones – is a fundamental requirement
Husky can handle diverse challenges as opposed to specialised agents that can focus on specific challenges such as agents for coding.
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Long-context LLMs are trending in the world of AI, but does it mean there’s nothing much left to brag about RAG?
Released less than a month ago, Llama-3 already has 648,460 downloads on Hugging Face.
Larger than the Apollo Moon Mission, which cost about $26 billion between 1968 and 1973.
Advocates it to be open like the internet.
Several big players have unveiled their lineup of smart glasses this year, with some of them incorporating AI features.
Meta expands its text-to-image generation by introducing the standalone AI image ‘Imagine’
The best part about it is that it is going to be open source for research and commercial use as well.
After knowing what we think, Meta now wants to see what we see
Meta is heading the closed source way, while Stability AI is coming up with smaller models
It’s time for Meta to keep Llama for itself and use it within its consumer products.
Meta wants to release Llama 3, which would still be compared to OpenAI’s GPT-4, or the upcoming GPT-5
Meta has decided to not release its most powerful code generation model because it is trained on ‘Unnatural Instructions’
Meta has unexpectedly become the Robinhood of the LLMbcommunity since its language model was leaked
Microsoft made everyone a developer with Copilot built on OpenAI’s Codex. Now Meta is here to open source Code Llama.
While Meta, Microsoft, Stability AI, Midjourney etc make efforts, Steg.AI has raced ahead with continued efforts
Meta currently does not care about revenue from generative AI.
The release is now made available as an open-source platform for research as well as commercial use.
Meta AI’s model has the potential to revolutionise the approach in which current users interact with and manipulate visual content.
Threads has given Meta the ability to read people’s thoughts. It doesn’t need the ‘What’s on your mind?’ box anymore
Meta had recently also released Massively Multilingual Speech research model consisting of 4,000 spoken languages
Meta AI successfully trained a visual transformer model with 632M parameters utilising 16 A100 GPUs within a span of 72 hours
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