Bharat Raghunathan (@[email protected]) @BharatR123
Exploring opportunities in Machine Learning Engineering and NLP! linktr.ee/bharatr Chennai Joined March 2013-
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My paper showing Invariant Neural Correlates for Parts of Speech in the Human Brain using Intracranial Depth Electrodes biorxiv.org/cgi/content/sh…
it pains me to see a poorly constructed benchmark coming from a credible source. I hope @anyscalecompute fixes things, and also consults other stakeholders before publishing such benchmarks. If I didn't know Anyscale closely, i would have attributed bad faith. Lets dive into…
it pains me to see a poorly constructed benchmark coming from a credible source. I hope @anyscalecompute fixes things, and also consults other stakeholders before publishing such benchmarks. If I didn't know Anyscale closely, i would have attributed bad faith. Lets dive into…
Living in the US on a Visa is not as easy as it seems especially in these tough market conditions !! You can't live unemployed in the US when you're on a Visa. Once you graduate below is the process: 1. You get 1 month to apply for F1-OPT. 2. You apply to USCIS for Work…
Living in the US on a Visa is not as easy as it seems especially in these tough market conditions !! You can't live unemployed in the US when you're on a Visa. Once you graduate below is the process: 1. You get 1 month to apply for F1-OPT. 2. You apply to USCIS for Work…
magnet:?xt=urn:btih:5546272da9065eddeb6fcd7ffddeef5b75be79a7&dn=mixtral-8x7b-32kseqlen&tr=udp%3A%2F%2Fopentracker.i2p.rocks%3A6969%2Fannounce&tr=http%3A%2F%https://t.co/g0m9cEUz0T%3A80%2Fannounce RELEASE a6bbd9affe0c2725c1b7410d66833e24
My new book Distributed Machine Learning Patterns from @ManningBooks is now officially published! Printed books are now available to order on Manning website! bit.ly/2RKv8Zo
Despite AGI (whatever that means), we're happy to bring you 🧨 diffusers 0.24.0: 1️⃣ Stable Video Diffusion 2️⃣ IP-Adapters for zero-shot stuff 3️⃣ SDXL Turbo (1-step generation) 📜 Releases details github.com/huggingface/di… 1/4
That was fast!
Cardi B ruined the name of this data engineering design pattern: Whenever you’re writing production data, you should never write directly to production. You should follow the WAP pattern which stands for: - Write Write your pipeline output to a staging table with the same…
I was curious about what @OpenAI GPT 3.5 would do if I used `function_call` to force it to call a function, but passed in a prompt that didn't make sense for that function. As it turns out, the model found an answer that absolutely makes sense...
Generative AI is the #1 skill for 2023 and you cannot ignore it! @NexusVP x @TheProductfolks presents 🚀 GenAI Rush: A Generative AI Cohort-Based Course and Buildathon 🚀 Get FREE access: 1. RT + Comment ‘ChatGPT’ 🔁💬 2. Register below👇 #AIwithTPF rebrand.ly/GenAI-Rush
What is k8s (Kubernetes)? k8s is a container orchestration system. It is used for container deployment and management. Its design is greatly impacted by Google’s internal system Borg. A k8s cluster consists of a set of worker machines, called nodes, that run containerized…
Very simple, minimal implementations for LLM inference at the edge with a lot of momentum, and a number of developing extensions across GPU support, quantization++, training/finetuning, etc. 👏 looking forward! +"Inference at the edge" manifesto good read:…
Very simple, minimal implementations for LLM inference at the edge with a lot of momentum, and a number of developing extensions across GPU support, quantization++, training/finetuning, etc. 👏 looking forward! +"Inference at the edge" manifesto good read:… https://t.co/ff25AQ3JlF
🚨 Latest Latent Space is live! MPT-7B and The Beginning of Context=Infinity with @jefrankle and @abhi_venigalla of @MosaicML latent.space/p/mosaic-mpt-7b available at all major podcast retailers (and Hacker News 👀) Personal Highlights: ➜ Discussion of whether @_jasonwei's…
Instead of wondering, choose your LLM at runtime I guess?
CodeT5+: LLMs for Code Understanding and Generation - CodeT5+ supports a wide range of code understanding and generation tasks - Supports different training methods to improve efficacy and computing efficiency - CodeT5+ is tested on 20 code-related benchmarks using different…
// Active Retrieval Augmented Generation // Retrieval augmented generation is an effective approach to improve the reliability of LLMs. Most of the current approaches retrieve information at intervals but that may not be optimal. This paper proposes a general method, FLARE,…
Need to catch up with LLMs? @full_stack_dl got you covered!
Need to catch up with LLMs? @full_stack_dl got you covered!
The Full Stack consistently pushes awesome AI content. Been waiting for their lectures on LLMs. They are now available for FREE! fullstackdeeplearning.com/llm-bootcamp/s…
The Full Stack consistently pushes awesome AI content. Been waiting for their lectures on LLMs. They are now available for FREE! fullstackdeeplearning.com/llm-bootcamp/s…
An LLM Bootcamp with best practices already!
An LLM Bootcamp with best practices already!
Spencer Shulem @Spshulem
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13K Followers 1K Following ML Engineer (e/acc) 📌 https://t.co/x0IIWfnOt8 🚀 https://t.co/QEO4CKRl1b Open LLMs is Happiness 💡 Ex Deutsche & HSBC. DM for collaboration.British Machine Visio.. @BMVCconf
3K Followers 32 Following Official account for #BMVC2024 in Glasgow 🏴 25-28 Nov 2024. Hosts @ger_ac83 and @EdmondSLHo from @UofGlasgow @GlasgowCS. CORE A since 2023!Spencer Shulem @Spshulem
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757 Followers 265 Following ML platform engineer. Applying AI to devops; https://t.co/bQezVVwxFC Ex @primer_ai, @GoogleFuzhao Xue @XueFz
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1K Followers 1K Following Asst prof @KhouryCollege @NU_CAMD @Northeastern. Researching #HCI, #CSCW, #Accessibility. PhD @NorthwesternU; Prev @uwcreate @MSFTResearch. she/her. From 🇧🇩1. I worked my ass off during my undergraduate at a tier 3 college. This mostly involved memorization. A lot of time wasted. 2. I spent a year of my Masters being depressed. A lot of time wasted. 3. I spent most of my PhD being depressed and borderline suicidal. A lot of time…
Still coping with how I wasted my first 2 years at college doing nothing 🥲 My prime years, going to waste Rebounding now ofc, but it would be nice to have had that headstart 🫠 anyone relate? lol
An abundance of options is how you build a life on your own terms! - should I go back and be a principal engineer in big tech? Recruiters are messaging everyday again. - should I sell my business and try something new? I’m getting offers from people here - should I post…
Our infra team has come with a GitHub Action that lets you securely SSH into a GPU runner that is used during CI 💠 For those of us who struggle sometimes to reproduce CI failures, this is insanely useful. Debugging hasn't been this joyous ❤️ This is the workflow:…
Google has laid off their Python Foundation team and asked them to train their replacements who will be in the Munich office. This is similar to layoffs in their finance department a few weeks ago where some positions were moved outside the country where they’re cheaper. 😬
On the way to success, people will doubt you every step of the way: When I left Utah in 2015 to dive into data engineering, tons of friends told me I was making a mistake. When I told some people about my Facebook interview they responded with, “isn’t the interview really…
Be skeptical of all career advice! My advice of “job hop every two years” might not apply to people seeking stability for their family. My advice of “build side projects on the weekend” might not apply to people who have lives My advice of “quit your job and do content full…
First, figure out WHAT the product is, WHAT problem it solves, WHY people want to use it. Get some traction & usage data. Then, bring in ML folks who can help with HOW to measure & improve, based on the data. Doing it reversed is like building solutions to nonexistent problems.
@waynebluewind @swyx However you need to build something first and minimally scale it so there is something to evaluate That’s the tricky bit that people get wrong. They hire a ML Eng too early before having built a thing OR they build stuff without the right foundations
Very pleased IndicGenBench is now out, lots of headroom for PhD students to start cracking 🙂 Particularly happy about the 29 languages coverage, including first-time generative evals (or any evals?) for many languages , eg, Garhwali, Konkani, Rajasthani, etc. Enjoy! @GoogleAI
New work on evaluating LLMs for generation in Indic Languages: IndicGenBench 👉5 diverse tasks, 29 Indic languages, >100k examples. 👉Curated using human translations ensuring high quality. 👉Multi-way parallel dataset. arxiv.org/abs/2404.16816 github.com/google-researc… (1/n)
If we view Attention and MLP as below, they look drastically similar: Attention: out = f(Q * K^T) * V MLP: out = g(X * W_1) * W_2 where f is Softmax and g is whatever nonlinearity. So, why is there a FlashAttention but no FlashMLP? 🤔 As a CUDA enthusiast, I have a theory,…
I bought @RoamResearch few years ago for 5 years. I used it so far because of that It continues to be my worst software purchase It's slow, no UX care & the mobile experience that makes Internet Explorer look great It's built by people who hate knowledge work
New work on evaluating LLMs for generation in Indic Languages: IndicGenBench 👉5 diverse tasks, 29 Indic languages, >100k examples. 👉Curated using human translations ensuring high quality. 👉Multi-way parallel dataset. arxiv.org/abs/2404.16816 github.com/google-researc… (1/n)
Jeremy is THE most talented infra/devops person I know. He’s created a specialized IDE + Copilot for DevOps : K8s, Cloud, etc - based on notebooks! It’s open source, accompanied by a blog that shows his thinking 👇
I'm experimenting with implicitly collecting human feedback to improve an AI for devops. I see lots of people opting for shiny, new observability tools. Here’s a post extolling the merits of reusing your existing logging infrastructure. foyle.io/docs/blog/logf…
I always strongly suggest people to read this work (arxiv.org/abs/2207.10551) by @YiTayML and @m__dehghani when discussing the model architecture. It almost takes up to 50% pages of the literature survey Chapter in my PhD thesis. It is so visionary to study this in 2022. I can…
not true, especially for language. if you trained a large & deep MLP language model with no self-attention, no matter how much data you'll feed it you'll still be lacking behind a transformer (with much less data). will it get to the same point? i don't think so. your tokens…
not true, especially for language. if you trained a large & deep MLP language model with no self-attention, no matter how much data you'll feed it you'll still be lacking behind a transformer (with much less data). will it get to the same point? i don't think so. your tokens…
The dataset is everything. Great read: nonint.com/2023/06/10/the…
I just rejected a 30-minutes call and told the person that I was happy to help if he asks his questions on Slack. It took me a minute to help him. People need to learn working asynchronously.
social life after college is just texting people to “get coffee” a few times a month & then spending $600 to attend someone’s wedding
Right now I have about 50 emails from non-CS major people wanting to pursue an internship in AI/ML claiming "robust foundation in AI/ML"! Literally everyone wants in!
First @nvidia DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":
As the lone AI Researcher/Engineer in a team that's focused on a specific domain/vertical, remember: Fine-tune yourself before fine-tuning your prompts and models. Dive deep into your data — it's a must.