Transform boring default Matplotlib line charts into stunning, customized visualizations Cover, image by the Author Everyone who has used Matplotlib knows how ugly the default charts look like. In this series of posts, I’ll share some tricks to make your visualizations stand out and reflect your individual style. We’ll start with a simple line chart, …
Introducing Gemini 1.5 By Demis Hassabis, CEO of Google DeepMind, on behalf of the Gemini team This is an exciting time for AI. New advances in the field have the potential to make AI more helpful for billions of people over the coming years. Since introducing Gemini 1.0, we’ve been testing, refining and enhancing its …
Introducing Gemini 1.5, Google’s next-generation AI model Read More »
Multithreading allows a process to execute multiple threads concurrently, with threads sharing the same memory and resources (see diagrams 2 and 4). However, Python’s Global Interpreter Lock (GIL) limits multithreading’s effectiveness for CPU-bound tasks. ContentsPython’s Global Interpreter Lock (GIL)Key conceptsHow it works2 ways to write async code:Other important points Python’s Global Interpreter Lock (GIL) The …
Deep Dive into Multithreading, Multiprocessing, and Asyncio | by Clara Chong | Dec, 2024 Read More »
ContentsResponsible by designOptimized across frameworks, tools and hardwareFree credits for research and developmentGetting started Responsible by design Gemma is designed with our AI Principles at the forefront. As part of making Gemma pre-trained models safe and reliable, we used automated techniques to filter out certain personal information and other sensitive data from training sets. Additionally, …
Google introduces new state-of-the-art open models Read More »
Discover how to set up an efficient MLflow environment to track your experiments, compare and choose the best model for deployment Training and fine-tuning various models is a basic task for every computer vision researcher. Even for easy ones, we do a hyper-parameter search to find the optimal way of training the model over our …
Track Computer Vision Experiments with MLflow | by Yağmur Çiğdem Aktaş | Dec, 2024 Read More »
Introducing SIMA, a Scalable Instructable Multiworld Agent
During the Interview — How to Prepare? Once you start the application process and start to get interviews, there are a few things you need to search and prepare for: Interview format Referrals, networking LinkedIn or Portfolio Interview resources and materials Strategies: planning, tracking, evolving, prompting, estimating your level, wearing your “lens of career,” getting …
Research Published 19 March 2024 Authors By Zhe Wang and Petar Veličković As part of our multi-year collaboration with Liverpool FC, we develop a full AI system that can advise coaches on corner kicks ‘Corner taken quickly… Origi!’ Liverpool FC made a historic comeback in the 2019 UEFA Champions League semi-finals. One of the most …
ContentsTip 2: Use structured outputsTip 3: Use chain of thoughts and better promptingTip 4: Use an Agentic approachBonus Tip : Use stronger models Tip 2: Use structured outputs Using structured outputs means forcing the LLM to output valid JSON or YAML text. This will allow you to reduce the useless ramblings and get “straight-to-the-point” answers …
An Agentic Approach to Reducing LLM Hallucinations | by Youness Mansar | Dec, 2024 Read More »
Responsibility & Safety Published 19 April 2024 Authors Iason Gabriel and Arianna Manzini Exploring the promise and risks of a future with more capable AI Imagine a future where we interact regularly with a range of advanced artificial intelligence (AI) assistants — and where millions of assistants interact with each other on our behalf. These …
