NLEPs: Bridging the gap between LLMs and symbolic reasoning

Researchers have introduced a novel approach called natural language embedded programs (NLEPs) to improve the numerical and symbolic reasoning capabilities of large language models (LLMs). The technique involves prompting LLMs to generate and execute Python programs to solve user queries, then output solutions in natural language.

While LLMs like ChatGPT have demonstrated impressive performance on various tasks, they often struggle with problems requiring numerical or symbolic...

NVIDIA unveils Blackwell architecture to power next GenAI wave 

NVIDIA has announced its next-generation Blackwell GPU architecture, designed to usher in a new era of accelerated computing and enable organisations to build and run real-time generative AI on trillion-parameter large language models.

The Blackwell platform promises up to 25 times lower cost and energy consumption compared to its predecessor: the Hopper architecture. Named after pioneering mathematician and statistician David Harold Blackwell, the new GPU architecture introduces...

AIs in India will need government permission before launching

In an advisory issued by India’s Ministry of Electronics and Information Technology (MeitY) last Friday, it was declared that any AI technology still in development must acquire explicit government permission before being released to the public.

Developers will also only be able to deploy these technologies after labelling the potential fallibility or unreliability of the output generated.

Furthermore, the document outlines plans for implementing a "consent popup"...

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...

NCSC: AI to significantly boost cyber threats over next two years

A report published by the UK's National Cyber Security Centre (NCSC) warns that AI will substantially increase cyber threats over the next two years. 

The centre warns of a surge in ransomware attacks in particular; involving hackers deploying malicious software to encrypt a victim's files or entire system and demanding a ransom payment for the decryption key.

The NCSC assessment predicts AI will enhance threat actors' capabilities mainly in carrying out more persuasive...

AI & Big Data Expo: Demystifying AI and seeing past the hype

In a presentation at AI & Big Data Expo Global, Adam Craven, Director at Y-Align, shed light on the practical applications of AI and the pitfalls often overlooked in the hype surrounding it.

Craven — with an extensive background in engineering and leadership roles at McKinsey & Company, HSBC, Nokia, among others — shared his experiences as a consultant helping C-level executives navigate the complex landscape of AI adoption. The core message revolved around...

Amdocs, NVIDIA and Microsoft Azure build custom LLMs for telcos

Amdocs has partnered with NVIDIA and Microsoft Azure to build custom Large Language Models (LLMs) for the $1.7 trillion global telecoms industry.

Leveraging the power of NVIDIA's AI foundry service on Microsoft Azure, Amdocs aims to meet the escalating demand for data processing and analysis in the telecoms sector.

The telecoms industry processes hundreds of petabytes of data daily. With the anticipation of global data transactions surpassing 180 zettabytes by 2025,...

Damian Bogunowicz, Neural Magic: On revolutionising deep learning with CPUs

AI News spoke with Damian Bogunowicz, a machine learning engineer at Neural Magic, to shed light on the company’s innovative approach to deep learning model optimisation and inference on CPUs.

One of the key challenges in developing and deploying deep learning models lies in their size and computational requirements. However, Neural Magic tackles this issue head-on through a concept called compound sparsity.

Compound sparsity combines techniques such as...

Databricks acquires LLM pioneer MosaicML for $1.3B

Databricks has announced its definitive agreement to acquire MosaicML, a pioneer in large language models (LLMs).

This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data. 

The acquisition, valued at ~$1.3 billion – inclusive of retention packages – showcases Databricks' commitment to democratising AI and reinforcing the...