Dr. Debashis Dutta(@debashis_dutta) 's Twitter Profileg
Dr. Debashis Dutta

@debashis_dutta

Accomplished professional with a PhD, 28+ Yrs extensive expertise in risk analytics & machine learning, with certifications in AWS,Google Cloud. Opinions my own

ID:92764064

linkhttps://drdebashisdutta.com/ calendar_today26-11-2009 14:28:28

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Junyang Lin(@JustinLin610) 's Twitter Profile Photo

Feel free to try this Qwen1.5-110B model preview! I hope you enjoy it! We will release the model weights soon!

huggingface.co/spaces/Qwen/Qw…

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Dr. Robin Kiera(@stratorob) 's Twitter Profile Photo

In , the advancement of (fintech) is gaining momentum, spurred by legislative changes and the proactive approach of financial institutions. Here's a closer look at the developments in the Macau fintech landscape: 🏦💻

New Financial System Act 📜💳
The

In #Macau, the advancement of #financialtechnology (fintech) is gaining momentum, spurred by legislative changes and the proactive approach of financial institutions. Here's a closer look at the developments in the Macau fintech landscape: 🏦💻 New Financial System Act 📜💳 The
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John Nosta(@JohnNosta) 's Twitter Profile Photo

🚨 Yes, A SuperReality!

Synthetic Reality Reimagined: From Hyperreal to SuperReality

psychologytoday.com/us/blog/the-di…

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Lewis Tunstall(@_lewtun) 's Twitter Profile Photo

I'm preparing some slides on LLM alignment for the ZurichAI meetup next week 👀

Here's my shortlist of favourite algorithms - anything else I should include?

I'm preparing some slides on LLM alignment for the @zurichnlp meetup next week 👀 Here's my shortlist of favourite algorithms - anything else I should include?
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Rohan Paul(@rohanpaul_ai) 's Twitter Profile Photo

Google's recent landmark paper on InfiniAttention for achieving infinite context. ✨

While true infinite context may be far-fetched idae, I think a very long context length, which is sufficient for most industry use cases, is within reach.

Paper - 'Efficient Infinite Context

Google's recent landmark paper on InfiniAttention for achieving infinite context. ✨ While true infinite context may be far-fetched idae, I think a very long context length, which is sufficient for most industry use cases, is within reach. Paper - 'Efficient Infinite Context
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Siemens(@Siemens) 's Twitter Profile Photo

Building the is a team effort. 🤝 Digital Twins are revolutionizing training through our collaboration with NVIDIA, merging with Omniverse. See how we're leading the digital revolution in our video featuring NVIDIA's Mike Geyer. 🎥

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Databricks(@databricks) 's Twitter Profile Photo

warehouses provide up to 12x improved price performance over standard interactive clusters.

You can now use Databricks Notebooks on SQL Warehouses to write and schedule Git-backed, multi-statement, and parameterized SQL👇
dbricks.co/3IZ9Tde

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Tripo(@tripoai) 's Twitter Profile Photo

ComfyUI nodes with Tripo API👇

github.com/VAST-AI-Resear…

Generate 3D models from text or images directly within the ComfyUI interface. Head to platform.tripo3d.ai to get your API key and start using the new Tripo nodes from Ran.627🙌

We welcome any workflows/suggestions

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Yann LeCun(@ylecun) 's Twitter Profile Photo

Haha.
We're coming back for more.

(but seriously folks: I had some input on our open source policy but I had no direct technical input on Llama-3)

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ifioravanti(@ivanfioravanti) 's Twitter Profile Photo

Apple MLX vs Ollama/llamacpp with Q4 Llama 3 8B and 70B and temperature 0 on M2 Ultra 76 GPU:

8B - 70 B - tokens/sec
🥇 MLX: 96.84 - 15.02
🥈 Ollama/llamacpp: 82.77 - 14.33

Apple MLX vs Ollama/llamacpp with Q4 Llama 3 8B and 70B and temperature 0 on M2 Ultra 76 GPU: 8B - 70 B - tokens/sec 🥇 MLX: 96.84 - 15.02 🥈 Ollama/llamacpp: 82.77 - 14.33
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Ziqi Huang(@ziqi_huang_) 's Twitter Profile Photo

VBench update: We support evaluating Image-to-Video (I2V) models at 𝗩𝗕𝗲𝗻𝗰𝗵-𝗜𝟮𝗩
🖼️ Image Suite: multi-scale, multi-aspect-ratio, comprehensive content variety
📏 Dimensions: video-image consistency, camera motion, video quality, etc.
👨‍💻 Code: github.com/Vchitect/VBench

VBench update: We support evaluating Image-to-Video (I2V) models at 𝗩𝗕𝗲𝗻𝗰𝗵-𝗜𝟮𝗩 🖼️ Image Suite: multi-scale, multi-aspect-ratio, comprehensive content variety 📏 Dimensions: video-image consistency, camera motion, video quality, etc. 👨‍💻 Code: github.com/Vchitect/VBench
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Private LLM(@private_llm) 's Twitter Profile Photo

Private LLM for iOS v1.7.8 is now live on the App Store. 🎉 Experience the power of the latest Llama 3 8B Instruct model from AI at Meta, running privately, fully on-device with no internet connection or telemetry. Works on all Pro, Pro Max iPhones and Apple Silicon iPads. Also,

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CognitiveLab(@cognitivelab_ai) 's Twitter Profile Photo

🚨 Introducing Gaja 🚨 ~ (Llama3-Gaja)

A series of open source bilingual Hindi-English LLMs finetuned on top of Llama3-8b by AI at Meta

huggingface.co/Cognitive-Lab/…

🚨 Introducing Gaja 🚨 ~ (Llama3-Gaja) A series of open source bilingual Hindi-English LLMs finetuned on top of Llama3-8b by @AIatMeta huggingface.co/Cognitive-Lab/…
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Aran Komatsuzaki(@arankomatsuzaki) 's Twitter Profile Photo

Anyone knows a paper that compares the following ways of retrieving a passage?

- Embed the passage itself, v.s.
- Embed the generated summary of the passage

The latter is just a special case of MultiVector Retriever of Langchain, but I've never seen a paper about it, other than

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