In this Disrupt Roundtable session, Siddharth Mall, Ian McDiarmid, and Kaushik PS from TELUS Digital dove deep into the ...

LLM supply chains are vulnerable at many points, especially when companies use open-source, third-party components, poisoned or outdated pre-trained models, or corrupted training data sets.

We recently compiled a list of the 15 AI News That Broke The Internet. In this article, we are going to take a look at where ...

A smart combination of quantization and sparsity allows BitNet LLMs to become even faster and more compute/memory efficient ...

Now, let’s look at OLMo 1B SFT DPO’s performance. AMD ran several benchmarks and compared the results with other open-source ...

How techniques like model pruning, quantization and knowledge distillation can optimize LLMs for faster, cheaper predictions.

With over 1 billion parameters trained using trillions of tokens on a cluster of AMD’s Instinct GPUs, OLMo aims to challenge ...

Ilya Sutskever now says that LLM scaling has plateaued and it's time for discovery again. AI labs are now working on ...

Initially, datasets were openly shared, allowing the public to examine the content used for training. However, LLM companies tightly guard their data sources today, leading to new intellectual ...

Multimodal Large Language Models (MLLMs) have rapidly become a focal point in AI research. Closed-source models like GPT-4o, GPT-4V, Gemini-1.5, and Claude-3.5 exemplify the impressive capabilities of ...