machine learning

It’s Here: ChatGPT Agent

Good morning. It’s Friday, July 18th.On this present day in tech history: In 1985the Commodore Amiga 1000's Motorola 68000 processor and custom graphics chips enabled pioneering computer vision and multimedia research. Its multitasking...

Meta Retreats, Grok Evolves, and US Bets Big

Good morning. It’s Wednesday, July sixteenth.On today in tech history: In 2015DeepMind’s AI crushed Atari 2600 games using deep reinforcement learning, nailing superhuman skills from raw pixels. This mid-July breakthrough showed machines could...

Learn how to Ensure Reliability in LLM Applications

have entered the world of computer science at a record pace. LLMs are powerful models able to effectively performing a wide selection of tasks. Nonetheless, LLM outputs are stochastic, making them unreliable. In...

AI text-to-speech programs could “unlearn” how you can imitate certain people

AI corporations generally keep a decent grip on their models to discourage misuse. For instance, should you ask ChatGPT to provide you somebody’s phone number or instructions for doing something illegal, it...

Easy Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning

make smart decisions when it starts out knowing nothing and may only learn through trial and error? This is strictly what one in all the best but most vital models in reinforcement learning is...

Inside China’s Free Trillion-Parameter Open Model

In partnership with Good morning. It’s Monday, July 14th.On this present day in tech history: In 1983Nintendo released the arcade game Mario Bros. in Japan. While a video game, its underlying...

The Crucial Role of NUMA Awareness in High-Performance Deep Learning

world of deep learning training, the role of the ML developer will be likened to that of the conductor of an orchestra. Just as a conductor must time the entry of every instrument...

Reducing Time to Value for Data Science Projects: Part 3

Parts 1 and a couple of of this series focussed on the technical aspect of improving the experimentation process. This began with rethinking how code is created, stored and used, and ended with utilising...

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