NexEra Dynamics

Coding is one of the current best use cases for #GenAI #LLMs. Just as Amazon which recently released its Q code assistant. Abacus.AI has now produced an open source fine-tuned recipe for Qwen-2 72B and LLama-3.1 70b increasing coding effectiveness.

Exciting new feature for those who want more specificity and less risk of hallucinations in niche spaces.

MIT Sloan principal research scientist Andrew McAfee presents evidence that geeks are building better companies — and that markets are valuing them more highly. https://lnkd.in/e9myk3Tz

Kristina Gligorić, a postdoctoral researcher at Stanford University's Computer Science Department, leads a Stanford HAI student affinity group seeking to bridge the gaps between artificial intelligence and the social sciences. Bringing together student researchers from computer science, linguistics, and psychology, their initiative was not just a meeting of minds but a concerted effort to promote interdisciplinarity on campus, fostering collaborations that transcend traditional academic boundaries. Learn how Stanford students can build research communities that pave the way for human-centered AI. Application closes tomorrow, August 23, 2024: https://lnkd.in/geCemxzE

#Bayesian approaches to decision theory problems have become increasingly popular as the cost of compute and compute power has increased with migration to the Cloud.

5 great predictions/recommendations as you build your AI muscle. 💪 1. Everyone will have an AI assistant, from consumers to knowledge workers. 2. Human-in-the-loop is the operative framework for deploying generative AI solutions. LLMs can’t yet predictably plan or reason and areas like memory and context are still in research. 3. Automation is a hard problem and is often underestimated. 4. Deployment of Automation with AI will take a “Crawl, Walk, Run” approach, starting with simple tasks to more complex workflows. 5. Code generation has emerged as a foundational element in developing genAI-based applications and Agentic Automation platforms.

#Python is one of the most popular programming languages for its clarity and easy learning curve. Check out these cool AI applications to develop and test your skills.

Understanding the key constituents driving a behavior is critical in building analytic models that effectively represent the world.