TAI #165: GPT-5’s Mixed Reception
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie After months of intense hype and speculation, OpenAI finally released GPT-5, arguably the most anticipated AI model launch of the year. Perhaps, they set …
TAI #167: US and China’s Open-Weight Divergence; Do You Really Need Open-Weight LLMs?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The open-weight LLM ecosystem saw another major release this week with DeepSeek-V3.1, an upgrade introducing a hybrid “Think/Non-Think” inference mode for better control over …
LAI #88: GNNs for Knowledge Graphs, DSPy Signatures, and How LLMs Are Really Trained
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue spans from deep technical builds to thought-provoking social insights. Our feature dives into Graph Neural Networks for knowledge graphs, showing how to generate powerful node …
TAI #166: The GenAI Paradox: Superhuman Models but Mixed Success with Enterprise AI Developments
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie Now that the dust has settled on GPT-5’s release, we’re seeing specific tasks where the new model adds substantial value, and the first wave …
LAI #89: The Rise of LLM Developers, Smarter Search Engines, and Multi-Agent Patterns
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we’re diving into the new role shaping AI development, the LLM Developer, sitting between software engineers and ML specialists, where prompts, fine-tuning, and system design come …
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 …
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