Our NEW 8-Hour AI Crash Course for Developers!
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! I’m sharing a special issue this week to talk about our newest offering, the 8-hour Generative AI Primer course, a programming language-agnostic 1-day LLM Bootcamp designed for developers …
Cache-Augmented Generation (CAG) vs Retrieval-Augmented Generation (RAG)
Author(s): Talha Nazar Originally published on Towards AI. Cache-Augmented Generation (CAG) vs Retrieval-Augmented Generation (RAG) — Image by Author In the evolving landscape of large language models (LLMs), two significant techniques have emerged to address their inherent limitations: Cache-Augmented Generation (CAG) and …
Data Scientists in the Age of AI Agents and AutoML
Author(s): Edoardo De Nigris Originally published on Towards AI. Uncomfortable reality: In the era of large language models (LLMs) and AutoML, traditional skills like Python scripting, SQL, and building predictive models are no longer enough for data scientist to remain competitive in …
Accelerating Drug Approvals Using Advanced RAG
Author(s): Arunabh Bora Originally published on Towards AI. Using RAG with multi-representation indexing to get full context data from technical documents This member-only story is on us. Upgrade to access all of Medium. Image generated with Imagen 3 This article is inspired …
Let’s Build an AI On-Call Buddy: An MVP Using AWS Bedrock to Supplement Incident Response
Author(s): Asif Foysal Meem Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Image by Midjourney Imagine a system where an on-call engineer can simply ask a chatbot — “What’s wrong with the …
Fine-Tuning LLMs with Reinforcement Learning from Human Feedback (RLHF)
Author(s): Ganesh Bajaj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Reinforcement Learning from Human Feedback (RLHF) allows LLMs to learn directly from the feedback received on its own response generation. . By …
How AI is Transforming Evaluation Practices
Author(s): Mirko Peters Originally published on Towards AI. This post explores the transformative effects of advanced data integration and AI technologies in evaluation processes within the public sector, emphasizing the potential, challenges, and future implications of these innovations. This member-only story is …
From Concept to Code: Unveiling the ChatGPT Algorithm
Author(s): Ingo Nowitzky Originally published on Towards AI. For the past two years, ChatGPT and Large Language Models (LLMs) in general have been the big thing in artificial intelligence. Many articles about how-to-use, prompt engineering and the logic behind have been published. …
The Potential Consciousness of AI: Simulating Awareness and Emotion for Enhanced Interaction
Author(s): James Cataldo Originally published on Towards AI. The Potential Consciousness of AI: Simulating Awareness and Emotion for Enhanced Interaction The benefit of simulated consciousness, from virtual worlds to the real one Source: AI generated image from perchance.org Whether it is possible …
TAI #136: DeepSeek-R1 Challenges OpenAI-o1 With ~30x Cheaper Open-Source Reasoning Model
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, the LLM race was blown wide open with Deepseek’s open-source release of R1. Performance is close to o1 in most benchmarks. Built …
Debugging in the Age of AI-Generated Code
Author(s): Diop Papa Makhtar Originally published on Towards AI. a Developer coding with his laptop In the fast-evolving world of software development, the landscape is shifting dramatically. The rise of AI-generated code is heralding a new era of productivity and innovation. Tools …
Reasoning Model: Short Overview and Feature for Developers
Author(s): Igor Novikov Originally published on Towards AI. Image by the author When LLMs first came out they were kinda like children, they would say the first thing that came to mind and didn’t bother much with logic. You had to tell …
DeepSeek-R1: The Open-Source AI That Thinks Like OpenAI’s Best
Author(s): Yash Thube Originally published on Towards AI. DeepSeek-R1: The Open-Source AI That Thinks Like OpenAI’s Best For years, the AI community has chased a moonshot: creating open-source models that rival the reasoning power of giants like OpenAI. Today, that moonshot just …
#TAI 135: Introducing the 8-Hour Generative AI Primer
Author(s): Towards AI Editorial Team Originally published on Towards AI. 95% of developers we meet are only scratching the surface of what LLMs can do. When working with LLMs, you are CONSTANTLY making decisions such as open-source vs. closed-source, how to fit …
Why Most Developers Miss the True Potential of LLMs
Author(s): Towards AI Editorial Team Originally published on Towards AI. The 8-Hour Generative AI Primer shows you how to ask the right questions, avoid common mistakes, and build AI prototypes in one day Building LLM-powered applications and workflows lends itself to “modular” …
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