Learn AI Together — Towards AI Community Newsletter #18
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where …
Exploring the Fusion: How AI is Powering the Data Science Boom
Author(s): Navruzbek Ibadullaev Originally published on Towards AI. Photo generated by deepai.org With the fast-driven data science field, the integration of Artificial Intelligence and Big Data Analytics (BDA) has earned its spot as the driver of major developments. This piece is about …
Top 5 Learnings From a Year With LLMs in a Business Environment
Author(s): Pawel Rzeszucinski, PhD Originally published on Towards AI. Photo by AbsolutVision on Unsplash Introduction Last Saturday marked exactly one year since OpenAI released public access to their models. From day one, my team and I at Team Internet Group were absolutely …
This AI newsletter is all you need #92
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we watched developments in the next generation of AI supercomputers with Nvidia GTC and Broadcom AI in Infrastructure events. It was also …
Researchers vs Practitioners
Author(s): Enos Jeba Originally published on Towards AI. Computer Vision began with research. We still have research going on but at the same time, some research is mature enough to be implemented into real-world applications. This also does not mean that research …
This AI newsletter is all you need #91
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we had a broad range of AI developments, from a new LLM software developer agent (Devin) to new open-source models (such as …
Inside SIMA: Google DeepMind’s New Agent that Can Follow Language Instructions to Interact with Any 3D Virtual Environment
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using DALL-E I recently started an AI-focused educational newsletter, that already has over 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
How to use LLMs locally with ollama and Python
Author(s): Andrea D’Agostino Originally published on Towards AI. This article will walk you through using ollama, a command line tool that allows you to download, explore and use Large Language Models (LLM) on your local PC, whether Windows, Mac or Linux, with …
GPUs + Kubernetes =? Decoding next-gen AI-enabling workloads
Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. Cloud-native technologies such as Kubernetes and serverless have been revolutionizing modern application design and deployment in recent years. Now, with AI's rising importance, Kubernetes and GPUs are becoming the backbone of some …
From Concept to Production with Observability in LLM Applications
Author(s): Hadi Javeed Originally published on Towards AI. Understanding observability in AI applications, particularly in Large Language Models (LLMs), is crucial. It’s all about tracking how your model performs over time, which is especially challenging with text generation outputs. Unlike categorical outputs, …
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