Sergios Karagiannakos @KarSergios
Creator of AI Summer @theaisummer | Data Engineer at @CausalyAI | 📖 Author of Deep Learning in Production (https://t.co/rzZd8VeBQH) theaisummer.com Greece Joined July 2016-
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𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗮𝗻𝗱 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗟𝗲𝗮𝗿𝗻𝗲𝗱 𝗼𝗻 𝗦𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗗𝗮𝘁𝗮 𝗳𝗼𝗿 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 A nice review on applications, challenges, and future directions regarding synthetic data research. 𝗣𝗮𝗽𝗲𝗿: arxiv.org/abs/2404.07503
𝗠𝗼𝘃𝗶𝗻𝗴 𝗣𝗮𝘀𝘁 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 𝗳𝗼𝗿 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗢𝗽𝗲𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 RecurrentGemma is a new LLM which uses the Griffin architecture and combines linear recurrences with local attention. 𝗣𝗮𝗽𝗲𝗿: arxiv.org/abs/2404.07839
𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 - 𝗔 𝗖𝗼𝘂𝗿𝘀𝗲 𝗯𝘆 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 Microsoft launched a new open-source course that contains 18 lessons with videos, learning materials, code example and exercises. It's centainly one of the most comprehensive entry-level…
You can now get my book on sale on Leanpub!!!!
Open-Sora is now available on GitHub
Open-Sora is now available on GitHub
𝗣𝗥𝗤𝗟: 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝗱 𝗥𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 PRQL is a data transformation language that can be used to build data pipelines with ease. It compiles to SQL, so it can be used by any relational database. 𝗚𝗶𝘁𝗵𝘂𝗯: github.com/PRQL/prql
So true
Very interesting work on "understanding" table data using chain of thought
𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 (𝗟𝗟𝗠𝗢𝗽𝘀) 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 A new LLMOps course just finalised by Duke University. It covers deployment, management, and optimization of large language models across various platforms such as Azure, AWS,…
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗹𝗼𝗻𝗴 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗥𝗔𝗚 𝘄𝗶𝘁𝗵 𝗥𝗔𝗣𝗧𝗢𝗥 𝗳𝗿𝗼𝗺 𝘀𝗰𝗿𝗮𝘁𝗰𝗵 RAPTOR tackles indexing of full documents by building a tree of document summaries. It recursively embeds, clusters and summarizes chunks of text, constructing a tree with differing…
Excellent thread on how to build a RAG system step by step
Excellent thread on how to build a RAG system step by step
Wow... The OpenAI Sora team dropped 5 new videos that are bananas! (Almost no exaggeration.😬) Check them here:
Datasets for Large Language Models: A Comprehensive Survey A comprehensive overview on LLM datasets which categorizes the fundamental aspects of them from five perspectives: pre-training corpora, instruction fine-tuning datasets, preference datasets, evaluation datasets,…
AI is the skill that we all need to learn. Now it's the best time to get started with Deep Learning and LLMs. Our text-based interactive course might be exactly what you need. But be aware. It has lot's of math and many hands-on coding exercises. educative.io/courses/intro-…
A while ago, i wrote an article on how diffusion models work covering their basics principles and mathematics. It was when Dalle-2 and Imagen were introduced. The field was still quite new but very promising. Looking back, it's mind-blowing to me how much progress we've seen in…
Sebastian Raschka @rasbt
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437 Followers 234 Following Data scientist at @CRIF | Writer on @Medium #DataScience #MachineLearning #PythonDeep Learning in Production by Sergios Karagiannakos is on sale on Leanpub! Its suggested price is $25.00; get it for $10.50 with this coupon: leanpub.com/sh/4e2jkFOD @KarSergios #MachineLearning #GoogleCloudPlatform #Ai #SoftwareArchitecture #Python #Docker
Η Microsoft ξεκινά την κατασκευή ενός data center στα Σπάτα unboxholics.com/news/tech/1127…
Who are the best ML engineers you know? we are hiring in NYC and SF. 🚀🚀 Lightnings is only 45 people 🤯🤯 (vs the 200+ at most AI startups). - We are flat, focused and lean. - No meetings or noise. - Ship or bust Every leader ships - My GH below lightning.ai/careers
I think i found the next Bittensor? A Deep Dive 🧵
I don't know why Google is bashed, Google always releases open-source/access, they're just not marketed as much. Google has 661 models on @huggingface Hub to be specific huggingface.co/google I will recommend bunch of them under this 🧶
Midjourney finally released their consistent character features! You can now generate images w/ consistent faces, hair styles, & even clothing across styles & scenes This has been the top requested feature from the community for a while now Some examples & how it works:
I'm starting a new series of posts, Diaries of Open Source, where I share a concise summary of interesting open-access ML news! No time to scroll through twitter? Check this out! Check the second edition at huggingface.co/posts/osansevi… !
Functional reward encodings (FRE) provide a general way to train universal policies: the policy is conditioned on an embedding of functions and trained on a large randomized distribution of rewards. It can then generalize to new reward functions! kvfrans.com/fre/ Thread👇
Wow... The OpenAI Sora team dropped 5 new videos that are bananas! (Almost no exaggeration.😬) Check them here:
Happening in Florence! 🗺️ I will speak in a panel about Artificial Intelligence to a broad audience. We'll explore the question "Which skills do I need to benefit from AI technology?" with @mariafarrell, @gedankenstuecke, moderated by @leehibbard 👉 voicesfestival.eu/conference-eve…
Visiting Sparta, London, San Francisco and New York this month. Obviously the most important city comes first.
JUST IN: Google DeepMind releases Gemma, a series of open models inspired by the same research and tech used for Gemini. Open models fit various use cases so this is a very smart move from Google. Great to see that Google recognizes the importance of openness in AI science and…
Introducing Gemma - a family of lightweight, state-of-the-art open models for their class, built from the same research & technology used to create the Gemini models. Blog post: blog.google/technology/dev… Tech report: goo.gle/GemmaReport This thread explores some of the…
📢 @CausalyAI launches the first production-grade copilot for life sciences! - Zero hallucinations - References & in-line citations for every fact provided - Integration with best-in-class knowledge graph and scientific data (patents, clinical trials, etc.) - Also able to…
New (2h13m 😅) lecture: "Let's build the GPT Tokenizer" Tokenizers are a completely separate stage of the LLM pipeline: they have their own training set, training algorithm (Byte Pair Encoding), and after training implement two functions: encode() from strings to tokens, and…
Keep an eye on @lambda_automata this year.
Thanks @Siftedeu for featuring Lambda among new defense tech companies in Europe!
Here is an open-source library that makes integrating AI into an application extremely easy. CopilotKit. Star their repository: github.com/CopilotKit/Cop… CopilotKit will take your application context and feed it into their React infrastructure to build: • In-app AI chatbots…