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пятница, 16 февраля 2024 г.

Trends to watch for February

Quantum algorithm improvements, merging LLMs, ChatGPT in cars, and more.
O'Reilly

We're in the second month of 2024 and O'Reilly's Mike Loukides is ready to share his monthly list of emerging technologies and interesting business trends. Here's a glimpse of what's on his mind:

A new (but unnamed) model from Meta that competes with GPT-4. Lumiere, a text-to-video model from Google that claims to be more realistic than anything yet. Real security concerns around GenAI (including ransomware and very convincing phishing schemes). Search results are getting worse (you're not imagining it). And much more.

Check it out.

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Neal Ford

Designing Distributed Systems

Join experts Mark Richards and Neal Ford to gain a clearer understanding of many of the complexities of distributed architectures. They'll address how architects can use communication, consistency, and coordination to make decisions about transactional workflows. The course is free for members. Not a member? Get a free 10-day trial membership.

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New release: LLMs and Generative AI for Healthcare

Authors Kerrie Holley and Manish Mathur from Google's Healthcare and Life Sciences Industry team help you explore real-world applications of LLMs and GenAI technologies in healthcare, from personalized patient care and drug discovery to enhanced medical imaging and robot-assisted surgeries. You'll also learn the challenges of using these technologies—and the ethical implications of their application in this field.

Read it now ›

Thomas Nield

GenAI Superstream: Possibilities and Pitfalls

Join our experts on February 24 to explore how AI is changing technology and business. You'll learn how to harness its transformative potential while avoiding common missteps and discover how to best use AI as a tool for progress rather than a stumbling block.

Save your spot ›

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New audiobook: Generative AI in the Real World

Chip Huyen, cofounder of Claypot AI and author of Designing Machine Learning Systems, talks about why many companies have trouble coming up with appropriate use cases for AI, how to evaluate possible use cases, and the skills your company will need to put them into practice.

Listen now ›

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