Just over halfway into the year, the topics of Generative AI (GenAI), Large Language Models (LLMs) and all things machine learning continue to dominate industry headlines, product roadmaps, and the tech startup scene.
These topics have also been pivotal to the success of a number of recent sponsored campaigns on InfoQ:
- The best performing sponsored asset so far this year has been HPE’s white paper “Exploring enterprise AI: An Introduction to LLMs, vector databases, and more,”
- In June, Harness sponsored the InfoQ Live Roundtable “Developer Experience in the Age of Generative AI” which proved to be a popular topic amongst readers
- In July, InfoQ published the “Practical Applications of Generative AI” eMag. Sponsored by Composable Prompts, the eMag generated a record number of leads in the first two weeks
Editorial Coverage on InfoQ
The topic of GenAI has also been a big part of our recent editorial and conference coverage on InfoQ.
In her QCon London presentation, The AI Revolution Will Not Be Monopolized (summarized by Daniel Dominguez) Ines Montani argues that - in order to avoid heading into a world of big tech monopolization of LLMs - we need to get behind open-source initiatives that can help us democratize AI technology, offering transparent, extensible tools that empower users.
At the inaugural InfoQ Dev Summit Boston, Justin Sheehy of Akamai delivered an opening keynote on being a responsible developer in the age of artificial intelligence hype. The talk was aimed at software practitioners who might be feeling overwhelmed by the rapid developments and inflated expectations surrounding AI.
Lastly, Alex Cruikshank recently discussed where GenAI is likely to have the greatest impact, steps to manage this change, and ways to leverage the shift to AI mediated work to better understand business processes.
Here are the Top 10 AI-related content pieces published on InfoQ so far this year:
Slack Combines ASTs with Large Language Models to Automatically Convert 80% of 15,000 Unit Tests
Google Announces 200M Parameter AI Forecasting Model TimesFM
Meta Open-Sources MEGALODON LLM for Efficient Long Sequence Modeling
OpenAI Releases New Embedding Models and Improved GPT-4 Turbo
Retrieval-Augmented Generation (RAG) Patterns and Best Practices
Maximizing the Utility of Large Language Models (LLMs) through Prompting