Aurimas Griciūnas @Aurimas_Gr
🔨 Chief Product Officer @neptune_ai 📖 Tweeting about #LLM, #GenAI, #DataEngineering, #MachineLearning and #Data ✍️ Author of SwirlAI Newsletter. newsletter.swirlai.com Lithuania Joined June 2012-
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Building a 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗴𝗿𝗮𝗱𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) 𝗯𝗮𝘀𝗲𝗱 𝗟𝗟𝗠 𝘀𝘆𝘀𝘁𝗲𝗺 might be more complicated than you think. There are many tutorials out there that show you how to build a chat-bot in 10 minutes. ❗️ But…
What is a 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲? With the rise of Foundational Models, Vector Databases skyrocketed in popularity. The truth is that a Vector Database is also useful outside of a Large Language Model context. When it comes to Machine Learning, we often deal with Vector…
What are the most common 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 𝗳𝗼𝗿 𝗞𝗮𝗳𝗸𝗮? We have covered lots of concepts around Kafka already. But what are the most common use cases for The System that you are very likely to run into as a Data Engineer? 𝗟𝗲𝘁’𝘀 𝘁𝗮𝗸𝗲 𝗮 𝗰𝗹𝗼𝘀𝗲𝗿 𝗹𝗼𝗼𝗸:…
What are 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) 𝗦𝘆𝘀𝘁𝗲𝗺𝘀? Here is an example of a simple RAG based Chatbot to query your Private Knowledge Base. First step is to store the knowledge of your internal documents in a format that is suitable for…
I am excited to announce that I am stepping up as Chief Product Officer at @neptune_ai. Last year showed me that this company is meant for great things. I met and had the pleasure to work with the most talented team in my career so far. The pace of innovation is unparalleled. We…
What is 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 (𝗖𝗧) in MLOps and what steps are needed to achieve it? CT is the process of automated ML Model retraining in Production Environments on a specific trigger. Let’s look into some prerequisites for this: 1) Automation of ML…
What is 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹 𝗖𝗼𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 and why you might need it? When you deploy Machine Learning models to production you need to take into account several operational metrics that are in general not ML related. Today we talk about two of…
You can 𝗺𝗶𝘀𝘁𝗮𝗸𝗲𝗻𝗹𝘆 𝘁𝗵𝗶𝗻𝗸 that it is 𝗲𝗮𝘀𝘆 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) 𝗯𝗮𝘀𝗲𝗱 𝗟𝗟𝗠 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. There are so many tutorials out there that show you how to build a chat-bot in 10 minutes. ❗️ But that…
What is the difference between 𝗟𝗮𝗺𝗯𝗱𝗮 𝗮𝗻𝗱 𝗞𝗮𝗽𝗽𝗮 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀? Lambda and Kappa are both Data architectures proposed to solve movement of large amounts of data for reliable Online access. The most popular architecture has been and continues to be…
What do you need to know about 𝗖𝗗𝗖 (𝗖𝗵𝗮𝗻𝗴𝗲 𝗗𝗮𝘁𝗮 𝗖𝗮𝗽𝘁𝘂𝗿𝗲)? Change Data Capture is a software process used to replicate actions performed against Operational Databases for use in downstream applications. There are several use cases for CDC. Two of the main…
What are the four 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗧𝘆𝗽𝗲𝘀? Even if you will not work with them day to day, the following are the four ways to deploy a ML Model you should know and understand as a MLOps/ML Engineer. ➡️ 𝗕𝗮𝘁𝗰𝗵: 👉 You apply…
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229K 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.Significant new features in the Assistants API:
Introducing a series of updates to the Assistants API 🧵 With the new file search tool, you can quickly integrate knowledge retrieval, now allowing up to 10,000 files per assistant. It works with our new vector store objects for automated file parsing, chunking, and embedding.
a sign of good design is when your framework gets increasingly written in itself over time
Safety research on robustness to LLM attacks such as prompt injection, by @lilianweng and team:
Introducing the Instruction Hierarchy, our latest safety research to advance robustness for prompt injections and other ways of tricking LLMs into executing unsafe actions. More details: arxiv.org/abs/2404.13208
First @nvidia DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":
OpenAI 🤝 Moderna: wsj.com/articles/at-mo…
programming at its best feels like the constant discovery and invention of new concepts, materialized into useful form
[New on our blog] 📖 2024 Layoffs and LLMs: Pivoting for Success Author: @Aurimas_Gr Reading time: 3 min —
Sora for artists and filmmakers:
A glimpse of our early work with artists and filmmakers to see how Sora can help bring ideas into reality: openai.com/blog/sora-firs…
NVIDIA has released FREE courses on AI. No payment needed. Here are 8 free courses you don't want to miss:
Building a 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗴𝗿𝗮𝗱𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) 𝗯𝗮𝘀𝗲𝗱 𝗟𝗟𝗠 𝘀𝘆𝘀𝘁𝗲𝗺 might be more complicated than you think. There are many tutorials out there that show you how to build a chat-bot in 10 minutes. ❗️ But…
What is a 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲? With the rise of Foundational Models, Vector Databases skyrocketed in popularity. The truth is that a Vector Database is also useful outside of a Large Language Model context. When it comes to Machine Learning, we often deal with Vector…
@Aurimas_Gr So cool! What I am confused about is while searching, do we convert the search query into a vector and then find the similar vectors from the existing entries in the database? My assumption is that's how RAG models give contextual responses. Is this assumption correct?
happy to see this—excited for intel, the US, and more AI capacity!
Big news: Today, we’re announcing an $8.5 billion preliminary agreement with @intel — the largest CHIPS investment yet. The investment will create nearly 30,000 jobs and expand their semiconductor capacity across the country. commerce.gov/news/press-rel…
What are the most common 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 𝗳𝗼𝗿 𝗞𝗮𝗳𝗸𝗮? We have covered lots of concepts around Kafka already. But what are the most common use cases for The System that you are very likely to run into as a Data Engineer? 𝗟𝗲𝘁’𝘀 𝘁𝗮𝗸𝗲 𝗮 𝗰𝗹𝗼𝘀𝗲𝗿 𝗹𝗼𝗼𝗸:…
What are 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) 𝗦𝘆𝘀𝘁𝗲𝗺𝘀? Here is an example of a simple RAG based Chatbot to query your Private Knowledge Base. First step is to store the knowledge of your internal documents in a format that is suitable for…
easy to underappreciate the pain of a slow program that doesn't provide any hints as to what it's doing
scaling laws are decided by god; the constants are determined by members of the technical staff
@sama A street-level tour through a futuristic city which in harmony with nature and also simultaneously cyperpunk / high-tech. The city should be clean, with advanced futuristic trams, beautiful fountains, giant holograms everywhere, and robots all over. Have the video be of a human…