RT @hyprbots: At Hyperbots, our AI stack is now powered by AI. Deep AI research at a break-neck pace is critical. We now have the new age A…
Niyati Chhaya retweeted
Kalaari Capital welcomes Hyperbots Inc. to the #KalaariFamily!
Led by Ram Jayaraman, @niyatic, and @rajeev_k_pathak, Hyperbots is addressing inefficiencies in mid-market finance with cutting-edge tech. We're thrilled to support their mission!
#KalaariFamily #Startups #AI
Niyati Chhaya retweeted
Join us for an exclusive LinkedIn Live conversation hosted by Sampath P, Partner at Kalaari Capital, with @rajeev_k_pathak, co-founder & CEO of Hyperbots, fresh off their funding!
📅 Date: 8th August |🕒 Time: 11am
✉️ RSVP now: bit.ly/4dx8wj7
#Hyperbots #KalaariFamily
Niyati Chhaya retweeted
This is huge: Llama-v2 is open source, with a license that authorizes commercial use!
This is going to change the landscape of the LLM market.
Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers
Pretrained and fine-tuned models are available with 7B, 13B and 70B parameters.
Llama-2 website: ai.meta.com/llama/
Llama-2 paper: ai.meta.com/research/publica…
A number of personalities from industry and academia have endorsed our open source approach: about.fb.com/news/2023/07/ll…
Niyati Chhaya retweeted
Caterpillars extract nutrients which are then converted into butterflies. People have extracted billions of nuggets of understanding and GPT-4 is humanity's butterfly.
Niyati Chhaya retweeted
Open source LLMs popping up everywhere.
This is the way.
Today is the Llama moment for coding! 💫
StarCoder-15B reaches 40.8% on HumanEval benchmark, beating the 30x bigger PaLM.
Coding holds a very special place in NLP. Most software in the world has AI-friendly APIs. LLMs good at coding will master the digital tools, greatly improve productivity, and some day become full-blown autonomous agents.
StarCoder's training corpus includes permissively licensed data on GitHub and over 80 programming languages. VSCode integration is available. The open-source LLM community is advancing at superhuman speed 💫
A big shoutout to @BigCodeProject !
Niyati Chhaya retweeted
Thrilled to post the release of our technology, "Moving Elements" (in collaboration with @aniruddha26398 and @AdobeElements) that empowers the users to add motion to still images. Check out the reel that shows our tech on a diverse set of photos.
youtu.be/W-9D_-ilS1Y
Niyati Chhaya retweeted
✨New preprint✨
Zero-shot GPT-3 does *better* at news summarization than any of our fine-tuned models. Humans like these summaries better. But all of our metrics think they’re MUCH worse.
Work/ w/ @jessyjli, @gregd_nlp. Check it out here: arxiv.org/abs/2209.12356
[1/6]
Niyati Chhaya retweeted
If you are a researcher working on NLP, NLG, Computer Vision, Deep Learning, HCI or Autonomic Systems who is passionate about inventing the future of documents, creativity, autonomous systems and much more, please apply here: adobe.wd5.myworkdayjobs.com/…
Niyati Chhaya retweeted
Textual style transfer across multiple dimensions needs carefully annotated data. This week @NAACLHLT, @navitagoyal_ will present our work @AdobeResearch, where we overcome this by employing multiple style-aware language models as discriminators.
Paper: bit.ly/naaclmdst
Niyati Chhaya retweeted
We are looking to hire outstanding researchers in NLP, Computer Vision & other areas for @AdobeResearch, India. For more details and applying: check this adobe.ly/3bz2wJ0. Apply if you are looking for opportunities to work on cutting-edge research technologies!
Niyati Chhaya retweeted
#adoberesearchindia
If you are working on HCI, NLP, NLG, Computer Vision, DL and AI & passionate about inventing the future of creativity, documents, and more, apply here (PhDs only) adobe.wd5.myworkdayjobs.com/…
Niyati Chhaya retweeted
(1/3) Video & Blog covering our sneak (with @hyman_chung, @keepthebyte, @verma22gaurav) @ Adobe Summit - nice to see our research featuring at the Summit #ProjectSnippets
With more eyes online than ever, #ProjectSnippets is here to accomplish two opposing tasks: do less work, but drive more engagement: adobe.ly/2Z8dSOp