techmaraudersmap @techmaruadermap
I write about #AI #MLjobs #softwareengineering #aiengineering #softskills. Joined April 2024-
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🚀 Perplexica - An AI-powered search engine 🔎 Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Built with LangChain, this is a great resource for getting started! github.com/ItzCrazyKns/Pe…
A "generally good" advanced RAG pipeline to start with 👇 1. Embed on smaller chunks: Current embedding models work best when matching on granular facts, like sentences or smaller paragraphs. If you clutter each chunk with too much text, relevant chunks are less likely to be…
A "generally good" advanced RAG pipeline to start with 👇 1. Embed on smaller chunks: Current embedding models work best when matching on granular facts, like sentences or smaller paragraphs. If you clutter each chunk with too much text, relevant chunks are less likely to be… https://t.co/HmipmoKZAX
Before you build complex agent systems, I’d recommend building with the individual “agent ingredients” first to gain a better first principles understanding of how they work. Here are the main ingredients for building an agent (mini 🧵) Query Planning: Given the task +…
It's been a week since LLaMA 3 dropped. In that time, we've: - extended context from 8K -> 128K - trained multiple ridiculously performant fine-tunes - got inference working at 800+ tokens/second If Meta keeps releasing OSS models, closed providers won't be able to compete.
I am #hiring senior engineering firepower for my team @Rippling in #Bengaluru to disrupt a 5 trillion usd/year benefits and insurance space. HMU or @mister_whistler for deets! RT for good karma!
How faithful are LLMs in RAG applications? 🤔 A recent paper from @Stanford explores how well LLMs respect retrieved information or fallback to their internal knowledge. The goal is to quantify the tension between LLMs’ internal knowledge and the retrieved information…
Data is all you need?
“I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. The “it” in AI models is the dataset” Thank you we need more people to stand up and admit this. I have been trying for decades. But now it is making sense. nonint.com/2023/06/10/the…
Phi-3 can run on a phone, and is very competitive with gpt-3.5!
Phi-3 can run on a phone, and is very competitive with gpt-3.5!
Here are 2 awesome resources to help you build RAG apps using @LangChainAI 👉Deeplearning AI course on Chat with Your Data learn.deeplearning.ai/courses/langch… 👉RAG From Scratch playlist by Langchain youtube.com/playlist?list=…
If you want to build your own RAG application, @akshay_pachaar's thread tells you how to get started 👇
If you want to build your own RAG application, @akshay_pachaar's thread tells you how to get started 👇
Let's build a "Chat with your docs" RAG application, step-by-step:
🅿️ Phi-3 is now available on Hugging Face 3.8B parameter model in two versions: 4K and 128K context length. Excellent performance + MIT license, enjoy! 🥳 🤗 4k: huggingface.co/microsoft/Phi-… 🤗 128k: huggingface.co/microsoft/Phi-…
Apple is joining the public AI game with 4 new models on the Hugging Face hub! huggingface.co/collections/ap…
The Cohere Toolkit is here! We’re releasing an open-source repository for devs to build RAG applications, just like the Cohere demo. It's a game-changer for developers to accelerate and simplify building enterprise AI apps like knowledge assistants. cohere.com/blog/cohere-to…
Apple's OpenELM model out 👉layer-wise scaling strategy used to efficiently allocate parameters within each layer of the transformer model, enhancing accuracy. 👉pretrained and instruction tuned models with 270M, 450M, 1.1B, and 3B parameters are released #apple #llm #ai
A lot of the insider knowledge on how to build an LLM has gone underground in the last 24 months. We are going to build #SnowflakeArctic in the open Model arch ablations, training and inference system performance, dataset and data composition ablations, post-training fun, big…
Phi-3 has "only" been trained on 5x fewer tokens than Llama 3 (3.3 trillion instead of 15 trillion) Phi-3-mini less has "only" 3.8 billion parameters, less than half the size of Llama 3 8B. Despite being small enough to be deployed on a phone (according to the technical…
Phi-3 has "only" been trained on 5x fewer tokens than Llama 3 (3.3 trillion instead of 15 trillion) Phi-3-mini less has "only" 3.8 billion parameters, less than half the size of Llama 3 8B. Despite being small enough to be deployed on a phone (according to the technical…
What is the best embedding model for your RAG app? @helloiamleonie writes a thread to get you started 👇
What is the best embedding model for your RAG app? @helloiamleonie writes a thread to get you started 👇
With new tutorials on RAG coming up everyday, it makes you wonder what really works and what does not work. Read this comprehensive evaluation survey ARAGOG arxiv.org/pdf/2404.01037… 👇
With new tutorials on RAG coming up everyday, it makes you wonder what really works and what does not work. Read this comprehensive evaluation survey ARAGOG arxiv.org/pdf/2404.01037… 👇
Wheau @WheausdI5p
2 Followers 132 Following
มาริใน @l6NOQqjY4Sr7G4
74 Followers 1K Following ความเซ็กซี่มีมากกว่าหนึ่งด้าน ติดตามฉันและค้นพบช่วงเวลาอื่นๆ ที่จะทำให้หัวใจคุณเต้นเร็วขึ้น! หน้าแรกของข้อมูลการติดต่อจะได้รับการอัปเดตตลอดเวลา
BettyGalbraith @1bU81tHdEpLFnh0
4 Followers 301 Following
Ayush @localmrbean
35 Followers 449 Following Here to retweet. Interested in distributed systems and cloud computing.
Alyssa O'Loghlen @AlyssaLogh26363
1 Followers 98 Following Fan Page for the goddess @AnastiyaRub 🤫 her linktree👇🏼
Groq Inc @GroqInc
47K Followers 472 Following Creator of the LPU™ Inference Engine, providing the fastest speed for AI applications, designed & engineered in N. America https://t.co/DsEqVAC5Dp
Wing Lian (caseus) @winglian
9K Followers 2K Following @axolotl_ai OSS maintainer. Axolotl AI founder. AI/ML tinkerer. Building tools for everyone. ☕ https://t.co/3ni1V4rI9w
Alyssa O'Loghlen @AlyssaLogh26363
1 Followers 98 Following Fan Page for the goddess @AnastiyaRub 🤫 her linktree👇🏼
Ayush @localmrbean
35 Followers 449 Following Here to retweet. Interested in distributed systems and cloud computing.
LM Studio @LMStudioAI
16K Followers 189 Following Download & run local/open LLMs on your computer 👾 App: https://t.co/YS5uiRQ7TI (Mac/Windows/Linux)
Susan Zhang @suchenzang
20K Followers 506 Following @ Google Deepmind. Past: @MetaAI, @OpenAI, @unitygames, @losalamosnatlab, @Princeton etc. Always hungry for compute.
Riddhi Dutta @rite2riddhi
16K Followers 109 Following Software Engineer III @Google , ex Amazon , Salesforce | Teacher | Youtuber | Talks about Tech , Travel & Cricket.
Dhravya Shah @DhravyaShah
9K Followers 1K Following 18. techno optimist, passionate dev who ships (a lot) Building a better internet @Cloudflare. Building a second brain for your life https://t.co/fVMMAL23RR
Yair Schiff @SchiffYair
167 Followers 122 Following
Dan Fu @realDanFu
4K Followers 176 Following CS PhD Candidate at Stanford, systems for machine learning. Sometimes YouTuber/podcaster. Academic Partner, @togethercompute.
Songlin Yang @SonglinYang4
2K Followers 2K Following PhD student @MIT_CSAIL. Prev. @ShanghaiTechUni @SUSTechSZ. Working on scalable and principled methods in #ML & #NLProc. INTP | 5w4 | sx/sp | she/her
Simran Arora @simran_s_arora
2K Followers 212 Following CS PhD student at @StanfordAILab @hazyresearch
Dust @dust4ai
7K Followers 41 Following Amplify your team's potential with customizable and secure AI assistants.
Jim Fan @DrJimFan
230K Followers 3K Following @NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.
Reka @RekaAILabs
11K Followers 13 Following An AI research and product company 🫠. We are a team of scientists and engineers building state-of-the-art multimodal language models 😻
Kshitij Grover @kshithappens
935 Followers 1K Following CTO @useorb. We built billing so you don't have to. prev infra eng @asana, cs/philosophy @caltech. fan of roger federer, coffee, dfw, and phil.
Grace Ge @gracewenge
676 Followers 405 Following “all is fair in love & tech”. partner @amplifypartners
Saksham Consul @SakshamConsul
87 Followers 313 Following ML Sys Engineer @LaminiAI | Ex-Roboticist | Prev MS @Stanford, ML @IkigaiInc, @Nvidia | Builder
Lamini @LaminiAI
5K Followers 9 Following The enterprise LLM Platform that you can own. Run and train custom open models today.
Sharon Zhou @realSharonZhou
23K Followers 1 Following Building the future of LLMs | Cofounder & CEO, @LaminiAI | Prev: CS Faculty & PhD @Stanford. Product @Google. @Harvard | @MIT 35 under 35. Angel investor.
Thomas Wolf @Thom_Wolf
68K Followers 4K Following Co-founder and CSO @HuggingFace - open-source and open-science
Sebastian Hofstätter @s_hofstaetter
1K Followers 254 Following RAG & tool use modelling co-lead @Cohere; PhD in efficient neural information retrieval from @tu_wien
Pedro Cuenca @pcuenq
5K Followers 769 Following ML Engineer at 🤗 Hugging Face | Co-founder at LateNiteSoft (Camera+). I love AI and photography.
Bill Chambers @bllchmbrs
1K Followers 812 Following 👷 https://t.co/ODHNO6YBx7 ✍️ https://t.co/cX04twkyJ5 1x indie exit 1x O'Reilly author Prev: 🚀s ➡️ Anyscale, Databricks, $PCOR Talks about Startups, Data, AI
Andrew Gao @itsandrewgao
27K Followers 2K Following techno optimist! currently: @nomic_ai @stanford; prev @LangChainAI; Z Fellow 🇺🇸
Rohan Paul @rohanpaul_ai
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.
Leonie @helloiamleonie
7K Followers 410 Following 🖋️ Technical writer https://t.co/mXXEyoAUJZ 🥑 Developer Advocate @weaviate_io 🦆 Kaggle Notebooks Grandmaster https://t.co/3wrvdColIa
Soumith Chintala @soumithchintala
187K Followers 887 Following Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source.
François Chollet @fchollet
470K Followers 770 Following Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.
Jyoti Aneja @JyotiAneja
566 Followers 619 Following Senior Researcher @MSFTResearch | PhD from the University of Illinois, Urbana-Champaign | working on Phi models, Physics of LLMs👩🏻💻
Shubham Saboo @Saboo_Shubham_
41K Followers 448 Following AI Products @tenstorrent 📕 Author of books on GPT-3 & Neural Search in Prod ✍️ Tweets about LLMs & Prompt Engineering 📩 DMs open for collab
Ethan Mollick @emollick
212K Followers 554 Following Professor @Wharton studying AI, innovation & startups. Democratizing education using tech Book: https://t.co/CSmipbJ2jV Substack: https://t.co/UIBhxu4bgq
Yann LeCun @ylecun
713K Followers 718 Following Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
Mustafa Suleyman @mustafasuleyman
131K Followers 536 Following CEO, Microsoft AI | Author: The Coming Wave | Past: Co-founder, @InflectionAI & @GoogleDeepMind
Andrew Ng @AndrewYNg
1.0M Followers 913 Following Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
Nicolas Patry @narsilou
2K Followers 185 Following ML Engineer @huggingface. Anything ML inference related. Maintaining `pipeline` in `transformers`. Loving Rust.
Philipp Schmid @_philschmid
16K Followers 655 Following Tech Lead and LLMs at @huggingface 👨🏻💻 🤗 AWS ML Hero 🦸🏻 | Cloud & ML enthusiast | 📍Nuremberg | 🇩🇪 https://t.co/l1ppq3q3hk
abhishek @abhi1thakur
81K Followers 664 Following 🤗 I build AutoTrain @huggingface 👨🏽💻 World's First 4x Grand Master @kaggle 🎥 YouTube 100k+: https://t.co/BHnem8fTu5 ⭐ GitHub Star
Grant Slatton @GrantSlatton
6K Followers 529 Following Formerly built the fastest filesystem in the world at AWS, now building the fastest spreadsheet at https://t.co/ojwoGUGC8P
Python Developer @Python_Dv
80K Followers 1K Following A place for all things related to the #python #programming #coding #webdeveloper #webdevelopment #pythonprogramming #ai #ml #machinelearning #datascience ...
Hugging Face @huggingface
347K Followers 189 Following The AI community building the future. https://t.co/VkRPD0VKaZ #BlackLivesMatter #stopasianhate
Omar Khattab @lateinteraction
11K Followers 2K Following CS PhD candidate @StanfordNLP. 2022 Apple Scholar in AI/ML. Author of ColBERT (https://t.co/2ZtgXoa1np), DSPy (https://t.co/BH7WmMKDXR), & various retrieval & LM systems.💬"LangChain Tool Calling feature just changed everything" We recently added a common interface for tool calling across model providers This makes it easy to build agents that work across models Watch @EdenEmarco177 explain why this is a big deal youtube.com/watch?v=dj8Yqi…
🚀 Perplexica - An AI-powered search engine 🔎 Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Built with LangChain, this is a great resource for getting started! github.com/ItzCrazyKns/Pe…
It's been a week since LLaMA 3 dropped. In that time, we've: - extended context from 8K -> 128K - trained multiple ridiculously performant fine-tunes - got inference working at 800+ tokens/second If Meta keeps releasing OSS models, closed providers won't be able to compete.
There are many ways a very large and powerful model can be useful, even if no one can run it locally today: Distillation -- think about all recent results people show distilling GPT-4 outputs and training smaller models on those, how much more can be done if the teacher model…
I really love Meta’s open-source focus, but I doubt many of us will leverage such big models. None of us will run Llama3 400B locally 😅 Using APIs stays the way most of us will interact and work with LLMs. But Llama-3 8B or even 70B is quite cool, haha! Still, open sourcing…
I am #hiring senior engineering firepower for my team @Rippling in #Bengaluru to disrupt a 5 trillion usd/year benefits and insurance space. HMU or @mister_whistler for deets! RT for good karma!
How faithful are LLMs in RAG applications? 🤔 A recent paper from @Stanford explores how well LLMs respect retrieved information or fallback to their internal knowledge. The goal is to quantify the tension between LLMs’ internal knowledge and the retrieved information…
Phi-3 can run on a phone, and is very competitive with gpt-3.5!
Phi-3 Technical Report Microsoft presents a new 3.8B parameter language model called phi-3-mini. It's trained on 3.3 trillion tokens and is reported to rival Mixtral 8x7B and GPT-3.5. Has a default context length of 4K but also includes a version that is extended to 128K…
“I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. The “it” in AI models is the dataset” Thank you we need more people to stand up and admit this. I have been trying for decades. But now it is making sense. nonint.com/2023/06/10/the…
BREAKING: Eric Schmidt-backed Augment, a GitHub Copilot rival, launches out of stealth with $252M in funding at a $977M valuation
There is a really nice community of researchers developing transformer alternatives. Want to highlight these impressive folks. Simran Arora (@simran_s_arora), Chunting Zhou (@violet_zct), Dan Fu (@realDanFu), and Songlin Yang (@SonglinYang4)
Apple presents OpenELM An Efficient Language Model Family with Open-source Training and Inference Framework The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and
🅿️ Phi-3 is now available on Hugging Face 3.8B parameter model in two versions: 4K and 128K context length. Excellent performance + MIT license, enjoy! 🥳 🤗 4k: huggingface.co/microsoft/Phi-… 🤗 128k: huggingface.co/microsoft/Phi-…
The Cohere Toolkit is here! We’re releasing an open-source repository for devs to build RAG applications, just like the Cohere demo. It's a game-changer for developers to accelerate and simplify building enterprise AI apps like knowledge assistants. cohere.com/blog/cohere-to…
Great short thread
Why do people get confused by DSPy, part 1: This confused me when I first got started. Let's dive in.
Phi-3 has "only" been trained on 5x fewer tokens than Llama 3 (3.3 trillion instead of 15 trillion) Phi-3-mini less has "only" 3.8 billion parameters, less than half the size of Llama 3 8B. Despite being small enough to be deployed on a phone (according to the technical…
I can't believe microsoft just dropped phi-3 less than a week after llama 3 arxiv.org/abs/2404.14219. And it looks good!
We're hiring ML research interns this summer for a recursive self-improvement research role Requirements: > Cracked > Believe in personal AGI > Want sama to kneel > Willing to do acid before training runs This is a great way to get some early ML research under your belt.
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