The eleventh edition of our newsletter on Large Language Models is here.
In this edition, we explore
• Stanford’s AI Index Report,
• a mix of releases,
• AI in journalism, and
• tips for improving model answers.
The eleventh edition of our newsletter on Large Language Models is here.
In this edition, we explore
• Stanford’s AI Index Report,
• a mix of releases,
• AI in journalism, and
• tips for improving model answers.
The tenth edition of our newsletter on Large Language Models is here.
In this edition, we explore
• how generative AI is used by companies and people,
• new models and infrastructure,
• experience from real deployment,
• challenges, misuse, and
• ColBERT, an efficient approach to search.
The ninth edition of our newsletter on Large Language Models is here.
In this edition, we look at
▪ the just-approved European AI Act,
▪ challenges encountered in the wild real world,
▪ the adoption of AI in newsrooms,
▪ new models and their emerging uses,
▪ model evaluation, and
▪ improved training and prompting methods.
The eighth edition of our newsletter on Large Language Models is out!
This time, we look at
▪ the future of AI with Altman and Nadella,
▪ some of the challenges that still separate us from the future Altman and Nadella describe,
▪ the spread of smaller models and new compression techniques,
▪ library updates, and finally,
▪ some corporate clashes.
The seventh edition of our newsletter on Large Language Models is here.
In this edition, we explore
• the turmoil at OpenAI,
• several novel LLMs, including Google Gemini,
• a new round of challenges and fresh approaches to them,
• the mutual impact of AI and media, and
• the latest development in EU AI regulation.
The sixth edition of our newsletter on Large Language Models is here.
Today, we take a look at
• developments in AI infrastructure
• new models and prompting methods
• multimodal models,
• newsroom innovations, and
• ethical challenges.
The fifth edition of our newsletter on Large Language Models is here.
Today, we take a look at
• the race among industry leaders,
• the challenges of real-world applications,
• some new findings and framework releases, and
• how more and more websites are blocking AI data crawlers.
Our notes from reading. Instruction Tuning for Large Language Models: A Survey.
The fourth edition of our newsletter on Large Language Models is here.
Today, we look at
• Llama 2, the new model from Meta,
• practical aspects of LLM use – new tools but also some challenges,
• use of AI in media,
• and more.
The third edition of our newsletter on Large Language Models is here.
Today, we look at
• an introduction to LLM models by Andrej Karpathy;
• two posts on practical aspects of using LLMs; and
• the regulation of AI by the EU.
The second edition of our newsletter on Large Language Models is here. Below are summaries of papers and posts that captured our attention most during the last two weeks.
Today, we look at:
• various practical challenges and how to address them,
• two new models: Google Palm 2 and Falcon,
• LIMA and its approach to fine-tuning, and
• we again mention several non-technical LLM topics.
Geneea is a text analytics company, and AI has always been an integral part of what we do. Generative AI, transformers, and especially language models have been around for some time, but their popularization by OpenAI’s ChatGPT has unlocked immense creativity and sparked debates all over the world. We’re no exception. Not a day goes…