Google launches Gemini 1.5 with ‘experimental’ 1M token context

Google has unveiled its latest AI model, Gemini 1.5, which features what the company calls an "experimental" one million token context window. 

The new capability allows Gemini 1.5 to process extremely long text passages – up to one million characters – to understand context and meaning. This dwarfs previous AI systems like Claude 2.1 and GPT-4 Turbo, which max out at 200,000 and 128,000 tokens respectively:

“Gemini 1.5 Pro achieves near-perfect recall on...

DeepMind framework offers breakthrough in LLMs’ reasoning

A breakthrough approach in enhancing the reasoning abilities of large language models (LLMs) has been unveiled by researchers from Google DeepMind and the University of Southern California.

Their new 'SELF-DISCOVER' prompting framework – published this week on arXiV and Hugging Face – represents a significant leap beyond existing techniques, potentially revolutionising the performance of leading models such as OpenAI’s GPT-4 and Google’s PaLM 2.

The framework...

DeepMind AlphaGeometry solves complex geometry problems

DeepMind, the UK-based AI lab owned by Google's parent company Alphabet, has developed an AI system called AlphaGeometry that can solve complex geometry problems close to human Olympiad gold medalists. 

In a new paper in Nature, DeepMind revealed that AlphaGeometry was able to solve 25 out of 30 benchmark geometry problems from past International Mathematical Olympiad (IMO) competitions within the standard time limits. This nearly matches the average score of 26 problems solved...

Google creates new AI division to challenge OpenAI

Google has consolidated its AI research labs, Google Brain and DeepMind, into a new unit named Google DeepMind.

The move is seen as a strategic way for Google to maintain its edge in the competitive AI industry and compete with OpenAI. By combining the talent and resources of both entities, Google DeepMind aims to accelerate AI advancements while maintaining ethical standards.

The new unit will be responsible for spearheading groundbreaking AI products and advancements,...

DeepMind AlphaCode rivals the abilities of human programmers

DeepMind’s AI coder AlphaCode has proven capable of rivalling the abilities of a standard human programmer.

The company selected 10 contests that were hosted on Codeforces – a programming competition platform with thousands of participants – to evaluate the performance of AlphaCode.

Below is an example of a problem #AlphaCode can successfully solve, using the exact information seen on @codeforces, & the program that #AlphaCode writes.By...