Interview

Reinforcement Learning (RL) finetuning is an important step in training language models (LMs) to behave in specific ways and follow human etiquette. In today's applications, RL finetuning involves multiple goals due to various human preferences and...
Parameter-efficient fine-tuning (PEFT) methods have become essential in machine learning. They allow large models to adapt to new tasks without extensive computational resources. By fine-tuning only a small subset of parameters while keeping most of the...

Exclusive Talk With Dr. Jennifer Prendki, CEO of Alectio (An AI Startup Focused on DataPrepOps)

Dr. Jennifer Prendki is the founder and CEO of Alectio, the first startup focused on DataPrepOps, a portmanteau term that she coined to refer to the...

Exclusive Interview with Kimberly Powell, VP and General Manager of NVIDIA Healthcare

Kimberly Powell is vice president of healthcare at NVIDIA. She is responsible for the company’s worldwide healthcare business, including hardware and software platforms for...

Understanding The Cerebras High-End Compute Power And Role in AI and Healthcare: Exclusive Talk with Natalia Vassilieva Director of Product, Machine Learning at Cerebras...

Natalia Vassilieva is Director of Product, Machine Learning at Cerebras Systems, a computer systems company dedicated to accelerating deep learning. Her focus is machine...

Exclusive Talk with Toby Lewis, Global Head of Threat Analysis at Darktrace

Toby Lewis, Head of Threat Analysis Prior to joining Darktrace, Toby spent 15 years in the UK Government’s cyber security threats response unit, including as...

Exclusive Talk with Ryan McDonald: Chief Scientist at ASAPP

Ryan McDonald is the Chief Scientist at ASAPP. He is responsible for setting the direction of the research and data science groups in order...

Exclusive Talk with Naveed Ahmed Janvekar: Senior Data Scientist at Amazon

Naveed Ahmed Janvekar is a Senior Data Scientist working at Amazon in the United States. He works on solving fraud and abuse problems on...

An Interview with Key Leaders at NVIDIA and Boys & Girls Clubs of Western Pennsylvania: Their Partnership Aims to Make Artificial Intelligence More Accessible...

The demand for artificial intelligence (AI) is increasing rapidly. Helping young people get educated and exposed to careers in AI has become a critical...

Exclusive Talk with Sherin Mathews, Senior Data Scientist at McAfee

Asif: Tell us about your journey in AI and machine learning so far.  What factors influenced your decision to pursue a PhD and a...

Exclusive Talk with Ashutosh Saxena, Founder & CEO at Caspar.AI

Ashutosh Saxena is the Founder and CEO of Caspar.AI, that builds AI-enabled homes for senior and luxury housing. Dr. Saxena received his Ph.D. (2009) in...

AI Industry Talk with Nigel Willson

Nigel is a Global Speaker, Influencer and Advisor on Artificial Intelligence, Innovation & Technology (Ranked amongst the top AI Influencers in the World) —...

Exclusive Talk with Alon Girmonsky, Founder of BlazeMeter

Asif: Tell us about your journey with your multiple startups and successful exits. What were some of the biggest challenges you faced? Alon: I’m...

Exclusive Talk with Serhat Cillidag, Co-Founder and CTO of Intenseye

Serhat is Co-Founder and CTO of Intenseye. He was previously working as a software engineer in Sony, delivering their web platforms for millions of...

Nvidia AI Releases Minitron 4B and 8B: A New Series of Small Language Models...

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Large language models (LLMs) models, designed to understand and generate human language, have been applied in various domains, such as machine translation, sentiment analysis,...

Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches...

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Arcee AI introduced Arcee-Nova, a groundbreaking achievement in open-source artificial intelligence. Following their previous release, Arcee-Scribe, Arcee-Nova has quickly established itself as the highest-performing...

H2O.ai Just Released Its Latest Open-Weight Small Language Model, H2O-Danube3, Under Apache v2.0

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The natural language processing (NLP) field rapidly evolves, with small language models gaining prominence. These models, designed for efficient inference on consumer hardware and...

The Next Big Trends in Large Language Model (LLM) Research

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Large Language Models (LLMs) are rapidly developing with advances in both the models' capabilities and applications across multiple disciplines. In a recent LinkedIn post,...

CaLM: Bridging Large and Small Language Models for Credible Information Generation

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The paper addresses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses by correctly citing reliable sources. Existing...

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