AI/ML News Digest | 20th edition
Roosh Circle
We are a tech community of founders, engineers, investors, and entrepreneurs across Europe
AI Events
1/ Papers Club [free of charge moderated session] "Application of Generative AI on tabular data" with moderator Mykhailo Kushnir , Machine Learning Engineer and Founder of DestiLabs .
?? Date: October 19th, 17:00 (CEST)
2/ Moderated discussion "What's bussing in AI?" about the latest AI developments on Gathers Discord Server.
Our Community Architect, Alla Zhdan , hosts the event, and this week, we have a special guest to join her, Sireesha Chavali .
?? Date: October 27th, 17:00 (CEST)
AI Tech Updates
1/ Claude, the AI-powered assistant by Anthropic , is now available in 95 countries, enabling users worldwide to access its assistance. This expansion marks a significant stride in the global adoption of AI technology, simplifying everyday tasks and enhancing efficiency.
2/ Gradient introduces a developer platform for fine-tuning and deploying LLMs and embedding models on private data seamlessly integrated with the LlamaIndex RAG pipeline. This empowers users with quick and easy access to their data, fostering innovation and data-driven decision-making.
3/ OpenAI enhances its developer quickstart, allowing users to tap into the potential of AI and begin building with the OpenAI API. This development opens doors for developers to create AI-powered solutions.
4/ ElevenLabs presents groundbreaking AI dubbing technology that swiftly converts spoken content into multiple languages while preserving the original voices. This innovation promises to revolutionize content localization and accessibility.
5/ Loblaw Digital harnesses Langchain technology to build applications powered by LLMs, bridging the gap between data, tools, and preferred LLMs. This empowers businesses to maximize data and analytics for informed decision-making.
6/ Akshay Pachaar introduces Mitosheets, a groundbreaking tool that allows users to run spreadsheets within Jupyter Notebooks and automatically generates production-ready Python code for edits made. This innovation streamlines data analytics processes, enhancing efficiency.
7/ Kaggle AI Report is finally here. It covers a highly diverse range of themes, from technical essays to a vast ensemble of topics. It is an excellent resource for AI engineers and non-tech people who want to learn more about AI.
8/ Mistral AI just released the paper behind their impressive LLM: Mistral 7B. The model outperforms Llama2 13B on every benchmark and uses Grouped-query attention (GQA) and Sliding Window Attention (SWA) to handle longer sequences at smaller inference times. This new model will revolutionize the AI/Machine Learning/Deep Learning industry.
Innovations in AI
1/ A comprehensive survey of LLMs for software engineering has been released, offering insights into open research and technical challenges. This valuable resource caters to both AI engineers and non-tech enthusiasts seeking to understand AI's impact on software engineering.
2/ Rubric Labs and Cal.com, Inc. collaborate on a scheduling agent that garners recognition as a top product on ProductHunt, combining LLM knowledge and structured tools for increased reliability and production speed.
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3/ Meta Chain-of-Thought (Meta-CoT) prompting emerges as a new method to improve the performance of AI systems in mixed-task scenarios. This approach could enhance AI systems' capabilities across various tasks.
4/ Take a look at Drawdata, a user-friendly tool allowing users to create 2-D datasets in a Jupyter Notebook, aiding in visualizing data and understanding ML algorithms. This tool facilitates data analysis and algorithm development.
5/ A study sheds light on the role of attention heads in language models, contributing to the AI industry's understanding of language model components. This knowledge can aid in further development and improvement of language models.
6/ A new method for enhancing the accuracy of complex function calls is developed, reducing the number of prompt tokens spent on function definitions while achieving better results.
7/ Fine-tuning LLMs specifically on tasks significantly improve performance, offering a potential game-changer for AI engineers aiming to optimize their models.
AI Tools
1/ Explore essential topics and concepts for AI system design, including caching, DB sharding, load-balancing, replication, and indexing. These concepts are crucial for creating efficient and reliable AI systems.
2/ Delve into prompt engineering, a fascinating concept that enhances our understanding of AI and Machine Learning's inner workings. It offers insights mined from human-generated data, aiding in language compression.
3/ LLMs learn linear representations of space and time across multiple scales, enhancing their understanding of events and the concept of time. This insight contributes to improved AI performance.
4/ The Personal AI Cockpit receives a major update, allowing users to chat with GPT-4, discover trending news links on Google, and receive timely reports on their devices.
5/ LLM training outcomes exhibit remarkable consistency across multiple runs despite inherent randomness. This consistency is a noteworthy observation in AI research.
6/ Discover 50 directories where you can promote your business for free, enhancing business visibility. These directories support business exposure.
These developments in the dynamic AI landscape prove that AI is more than just technology; it's reshaping how we interact with the world.
Stay tuned for more AI updates, and join the conversation as we explore AI's exciting possibilities together! ??
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