machine learning

How To Significantly Enhance LLMs by Leveraging Context Engineering

is the science of providing LLMs with the proper context to maximise performance. Once you work with LLMs, you sometimes create a system prompt, asking the LLM to perform a certain task. Nonetheless,...

Inside Meta’s “List of 44”

Good morning. It’s Monday, July twenty first.On this present day in tech history: In 2008NVIDIA released CUDA 2.0, which allowed developers to write down massively parallel code in C/C++ to run on NVIDIA...

Gain a Higher Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow

https://github.com/syrax90/dynamic-solov2-tensorflow2 – Source code of the project described within the article. Disclaimer ⚠️ To begin with, note that this project is just not production-ready code. and Why I Decided to Implement It from Scratch This project targets...

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...

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