You Have NO Excuse to Not Be an LLM Developer Today
Author(s): Towards AI Editorial Team Originally published on Towards AI. Ever since we released our first book on LLMs — and now our most comprehensive course, From Beginner to Advanced LLM Developer — we’ve heard the same questions from devs sitting on …
LAI #75: Generative AI vs. Agentic AI vs. AI Agents
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue dives into where the field is heading — beyond generation, toward autonomy and better error awareness. We’re starting with a breakdown of the increasingly fuzzy …
Master the LLM Stack in 60+ hours — learn, code, ship, and certify
Author(s): Towards AI Editorial Team Originally published on Towards AI. Over the past two years, we’ve helped teams design and deploy real-world LLM systems — RAG pipelines, copilots that actually reduce load, PoCs that became products, and cut down hallucinations. One year …
Is LLM Development Your Next Career Move? Hear from Those Who’ve Done It Successfully
Author(s): Towards AI Editorial Team Originally published on Towards AI. If you’ve been circling the world of LLMs — reading our newsletter, skimming through papers, poking at APIs, half-building prototypes — this special issue is your invitation to go all in. Enrollment …
LAI #74: Smarter Prompts, Context-Aware Agents, and the Math Behind KANs
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Want to start this week’s issue with a quick announcement: the enrollment for the next “From Beginner to Advanced LLM Developer” cohort is open right now — and …
What Developers Really Need to Learn LLMs — According to Those Who Tried Everything Else First
Author(s): Towards AI Editorial Team Originally published on Towards AI. If you’re trying to get serious about building with LLMs, the internet will bury you in options: research papers, Discords, LangChain docs, YouTube tutorials, AI Twitter threads, notebooks on Hugging Face. But …
June Cohort Now Open: Join 1,000+ Developers
Author(s): Towards AI Editorial Team Originally published on Towards AI. Build AI apps that get you hired, promoted, and paid If you’ve been circling the world of LLMs — reading our newsletter, skimming through papers, poking at APIs, half-building prototypes — this …
TAI #151: ChatGPT’s Sycophancy Saga & OpenAI’s Nonprofit Reversal
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie After a relentless streak of model releases, this week gave the AI community a rare opportunity to pause and consider deeper alignment and governance …
How Towards AI Helps Transform Enterprise Teams into “AI-First” Employees
Author(s): Towards AI Editorial Team Originally published on Towards AI. With recent progress in AI capabilities in just the last six months, effective AI adoption has become more urgent than ever; both for everyday professional usage and for custom LLM development. We …
LAI #73: Vision-Language at Scale, o1’s Limits, RAG 2.0, and Multi-Agent Builders
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue covers deploying in-house vision-language models for large-scale document parsing, and whether OpenAI’s o1 models have actually advanced reasoning, or just scaled search. We also cover …
TAI #150: Qwen3 Impresses as a Robust Open-Source Contender
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, the AI spotlight turned to Alibaba’s Qwen team with the launch of Qwen3, a comprehensive new family of large language models. Offering …
LAI #72: From Python Groundwork to Function Calling, ICL Theory, and Load Balancing MoEs
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week’s issue bridges two ends of the spectrum: the foundations you need to get started, and the nuanced tools and ideas shaping how we build with AI …
TAI#149: OpenAI’s Agentic o3; New Open Weights Inference Optimized Models (DeepMind Gemma, Nvidia Nemotron-H)
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, OpenAI finally released its anticipated o3 and o4-mini models, shifting the focus towards AI agents that skillfully use tools. DeepMind also made …
LAI #71: Open-Sora: $200K Video Model, HPC’s Unsung Hero, and 10 Ways LLMs Fail in the Wild
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week from the AI community: Open‑Sora 2.0 shows what open-source video generation can do on a tight budget. We also cover JAX’s growing role in high-performance computing, …
TAI #148: New API Models from OpenAI (4.1) & xAI (grok-3); Exploring Deep Research’s Scaling Laws
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, AI developers got their hands on several significant new model options. Adding to the new Llama 4 model options last week, OpenAI …
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