satyam @satiyum
Design meets Biotech. https://t.co/7eH2e6LVXg + https://t.co/AciEw5Exhq bento.me/satyum Bangalore Joined May 2010-
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Engineers love general solutions. Normally, biotechs focus all their efforts on a set of specific solutions. These solutions are what create value. But the engineer's central urge is to improve *the way* that we arrive at these solutions. It's a really long-term bet.
I just love dspy. It fits in the brain, after sometime you forget its there - you do you.
Immune-computer interface. Thanks for an exciting manifesto!
Immune-computer interface. Thanks for an exciting manifesto!
When thinking on AI’s future, one must decide - is this a zero sum game (moore’s law comes to an end) or not (moore’s law continues). I’d bet on moore’s law continuing (no stall in sight). Hence, the 10T param models of today are just what you run on your PC the coming decade.
agreed, motivations of super powerful humans are likely the bigger alignment challenge even in the very long run (Dune, Foundation)
agreed, motivations of super powerful humans are likely the bigger alignment challenge even in the very long run (Dune, Foundation)
this 30-min-read blog post on how to craft and generate a 25B+ tokens synthetic text dataset distills more information and alphas than a typical NeurIPS best paper
Wonder how ranking models could enhance reasoning beyond their use in IR. Imagine Cappy style models for inference time validation, and sampling of good answers. blog: blog.research.google/2024/03/cappy-… paper: arxiv.org/abs/2311.06720 model: huggingface.co/btan2/cappy-la…
civilization can be rebuilt with a local LLM all of human knowledge stored in a mostly reliable probabilistic database that answers questions and teaches from scratch something beautiful about that
🧵Let me explain why the early ascent phenomenon occurs🔥 We must first understand that in-context learning exhibits two distinct modes. When given samples from a novel task, the model actually learns the pattern from the examples. We call this mode the "task learning" mode.
A “train experts then merge” approach model performing on par with mixtral 🥹 Excited to replicate this method more so than fine-tuning on GemMoE. huggingface.co/datasets/Cryst…
A “train experts then merge” approach model performing on par with mixtral 🥹 Excited to replicate this method more so than fine-tuning on GemMoE. huggingface.co/datasets/Cryst…
Need I say any more? Either you're blind, or you're bad at math* Pick your poison *at small-brain scale
Need I say any more? Either you're blind, or you're bad at math* Pick your poison *at small-brain scale https://t.co/7oM4OMKinq
Thank you @cdacindia for 1000hrs of compute on the awesome AIRAWAT cluster. State of the art GPU cluster with 82 nodes of 8xA100-40gb. ❤️ #StartUpIndia
AISitRep @AISitRep
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Ian Unsworth @Ianu82
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Museful @Museful_
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Deepa Pardasani ✨ @pdeepa
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Hannu Rajaniemi @hannu
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73 Followers 429 Following A pretty useful guy. Engineering. Product. Startups.
Dean Carignan @DeanCarignan
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Karthik Chandramouli @pujalords
2K Followers 3K Following Hoop 🏀 Dad, Investor, Startup Advisor @bookendai @mhubchicago #StarTrek 🖖🏽 #Lean ex-Toyota Motorola @Harvard @Kennedy_School @UofL Krishna Take The Wheel
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82 Followers 273 Following An AI Enthusiast/Educator| DM me if you want to link up 🤝.
Banghua Zhu @BanghuaZ
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Ekue @ekpodar
1K Followers 1K Following I am interested in Tech/AI, Marketing, and complex systems, I will posts random stuff in those categories
Keith Singery @KiethSingery
93 Followers 931 Following Alien Information Theorist 🧬 Bittensor Validator 🐉 Sauna Builder 🧖♂️ Breaker of Golden Handcuffs 🪬 Podcast - Bittensor Guru 🎙️
Sergey Plis @PlisSergey
3K Followers 1K Following Associate Professor of Computer Science at Georgia State University. I conduct research and provide consulting on #ML and #DL in #neuroimaging
EmbeddedLLM @EmbeddedLLM
211 Followers 596 Following Your open-source AI ally. We specialize in integrating LLM into your business. Expert consulting, robust support and AMD ROCm platform optimization.
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1K Followers 5K Following Senior Principal Scientist at Adobe. Working on Acrobat AI Assistant, LLMs, and document ML.
｡★ ∴*｡☆⋆ .. @mimi10v3
8K Followers 3K Following AI/Human Alliance with @foomagemindset 🫶 aspiring AI ecologist 🌞/acc & biophilia DC/VA/WV.
e9qe0amr21z @rrjnn7mt2dzu
0 Followers 214 Following If you want to make friends, you can contact me anytime TG：https://t.co/r4pnIqO9gO
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276 Followers 749 Following TAMU CSCE, supervised by @ShuiwangJi. AI4Science
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485 Followers 1K Following 💯Godfluencer 🐐 🙌People Profits 🔑 🙏1M+ Lives IMPACTED🙏 📈I Teach Crypto Forex Trader 💱 🧳 Traveler Catalyst Mentor 💎 ⏬47 countries ⏬
Danny Halawi @dannyhalawi15
167 Followers 290 Following masters student at @berkeley_ai advised by @JacobSteinhardt. Interested in interpretability, scalable oversight, and forecasting.
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George @georgejrjrjr
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Sasha Rush @srush_nlp
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Connor Shorten @CShorten30
16K Followers 15K Following Research Scientist @weaviate_io! Mostly working on Generative Feedback Loops with DSPy and Filtered ANN. Host of the Weaviate podcast! DSPy playlist below!
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3K Followers 847 Following CS PhD @ UC Berkeley. Creator of Gorilla, GoEx, RAFT, OpenFunctions and Berkeley Function Calling Leaderboard. Previously researcher @GoogleAI @MSFTResearch
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1K Followers 908 Following building something new, using community curation plus LLMs to help make sense of the world DM for beta invite or sign up here: https://t.co/a86bBAfLG1
Nathan Peterman @NathanTylerP
705 Followers 926 Following Follow if you like bad jokes and robots, but mostly robots (he/him) Former Agility Robotics, NASA JSC, Purdue. Looking forward to the next robotic adventure
ReJ 𓀨 Renaldas Zio.. @__ReJ__
4K Followers 466 Following AI, GPU & Neuromorphic chips 🚀 Let’s steal ideas from biology 🧠 My code run on billion devices: I brought @Unity to iOS. Also PBR & ML to Unity 🎮 ex @EA
Zengyi Qin @qinzytech
1K Followers 178 Following MIT PhD @MIT | Co-founded @myshell_ai | ex. @Stanford @MSFTResearch | Let's do AGI!
Lukas Henkel @QVHenkel
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Sonia @Sonia_Health
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Joe Edelman @edelwax
8K Followers 1K Following wise AI; moral graphs; mechanism & game design; big data virtue ethics; meaning metrics; values-based choice theory @meaningaligned
Ryan Lowe @ryan_t_lowe
5K Followers 358 Following what is the place from which we are creating? ❤️✨🤠❤️
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Daniel Han @danielhanchen
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Varun @varun_mathur
24K Followers 7K Following Make AI Free. Co-founder and CEO @HyperspaceAI. Run a node: https://t.co/aqlmPD43sQ, join: https://t.co/EKlAomDEcI
TalkRL Podcast @TalkRLPodcast
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Machine Learning Stre.. @MLStreetTalk
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Still remains the simplest, most lucid explanation of Large Langauge Models by one of the sharpest (and kindest) teachers (and engineers) of our time: Andrej Karpathy Give it a watch:
CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments Use Agent "to facilitate the process of selecting CRISPR systems, designing guide RNAs, recommending cellular delivery methods, drafting protocols, and designing validation experiments to confirm editing…
Excited to share OpenDispatcher, an LLM router that selects between GPT-3.5 and GPT-4, saving up to 20x costs! A big thank you to @sershokunin for sponsoring the project, I appreciate the support for #opensource, Link to writeup + model in comments 🧵👇
would anyone be willing to sponsor development of an opensource LLM delegator model i want to teach a very small (not Transformer) model to classify tasks by difficulty (doable by phi-1.5b, mistral7b, mixtral, GPT-4/Claude Opus) use case is that your application can select the…
Chemiluminescence Watch this it’s like magic
Bro Palantir has the military using kanban boards to execute strikes. There's no way💀
Apple MLX: Build Your Own Private AI Server 📱100% Local to your Network 🌐 Access AI on Any Device 🖥️ Run Locally 🔧 Using MLX Server 👩💻 Create a UI Chatbot using @chainlit_io 📚 Step-by-Step Guide Subscribe: youtube.com/@MervinPraison YT: youtube.com/watch?v=mStqWk… @awnihannun
The self-extend paper is really becoming important - "LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning" 🔥 📌 Extend existing LLMs’ context window without any fine-tuning 📌 One feasible way to avoid the O.O.D. ( out-of-distribution) problems by caused unseen…
💥 Excited to finally launch @LiteLLM website: litellm.ai Load Balance across 100+ LLMs, Track spend 😇 (P.S we're still working on a mobile version)
1/n Search-in-the-Chain: Addressing LLM Hallucinations through Agentic Interactive Search Large Language Models (LLMs) have brought us closer to this reality, demonstrating remarkable abilities in generating human-quality text, translating languages, and even writing different…
I've been working on perfecting this ComfyUI anime workflow for maybe like 6 months. What do you guys think?
I had a strange thought around Sora. OpenAI thinks Sora will be the future of games. Pixels will be generated and not rendered. Ok, I can get behind that. But how would Sora work for multiplayer? As someone who has worked on multiplayer in game engines before, the most likely…
These are awesome, keep the ideas coming! Summary of responses so far... Agent Integration and Workflow Enhancement: - Agent Interaction: Siva Surendira (@siva_1gc) suggests automated meta prompt generation and self-reflection capabilities for improving agent behavior. -…
🧠 Run LLama 3 70B on a Single 4GB GPU - with airllm and layered inference 🔥 layer-wise inference is essentially the "divide and conquer" approach 📌 And this is without using quantization, distillation, pruning or other model compression techniques 📌 The reason large…
Added two new chapters to the advanced DSPy tutorial 🔥 In the second chapter, I explain how to improve the knowledge graph extractor we built in the first chapter, aiming to reduce duplicate entities. In the third chapter, I explain what coreference resolution is and why it is…
Users from Lycee AI are asking me to create more advanced DSPy tutorials. I'm starting a new series today with an exploration of DSPy and knowledge graphs. I wrote a script to build a knowledge graph using DSPy. I'll be dropping the video on Lycee AI later today. It's actually…
@HoskinsAllen But can it? When provided extra compute to reflect, they fall apart as often as not – hallucinate, get stuck, loop. I think it's very much unclear if even the best LLMs have suitable generator-discriminator properties for this. (But I also think big labs will/have solved it)
The Synthetic Data Solves ASI pill is a bit awkward: - Our AI plateaues ≈on intelligence level of expert humans because it's trained on human data - to train a superhuman AI, we need a superhuman data generating process based on real world dynamics, not Go board states -…fuck
@pmddomingos The answer is: ♦ AI models are trained on datasets created by humans, inherently limiting their potential to surpass human capabilities. ♦ AIs have already demonstrated superhuman performance in many tasks, depending on the metrics used. ♦ Once AI starts generating its own…
sxyazi / yazi: 💥 Blazing fast terminal file manager written in Rust, based on async I/O. ★8003 github.com/sxyazi/yazi
Transform basic python functions into the openai function calling schema with Swarms github.com/kyegomez/swarms Get started with: $ pip install swarms
The Existential Hope team gives a mean interview - thank you, @beatrice_erkers and @allisondman !
Listen along to our Hope Drop this month to @hannu, author of the Quantum Thief and co-founder of Helix Nanotechnologies, to discuss both sci-fi and frontier biotechnologies. His X-hope scenario? Preventing disease with Biotechnology. existentialhope.com/podcasts/hannu… @foresightinst
This is the next big thing (for nerds): your own home cluster of Mac Mini or Mac Studio for distributed local LLM inference. Made possible by the unified memory architecture of Apple Silicon. Should I create a distributed version of @PicoGPT MLX server just for fun?
@yacineMTB you might prefer to use ip over thunderbolt, ethernet is too slow
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