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Interviews with InnovatorsInterviews with Innovators
🎙️When Will We Speak Without Language Barriers?

🎙️When Will We Speak Without Language Barriers?

An Inference with Mati Staniszewski / ElevenLabs

Ksenia Se
Ksenia Se
Community TwistCommunity Twist
Guest Post: Building a Self-Improving Agent with Arize Phoenix and DSPy

Guest Post: Building a Self-Improving Agent with Arize Phoenix and DSPy

Using prompt optimization, evaluation, and observability to create an automated improvement process

John Gilhuly
John Gilhuly
AI 101AI 101
Topic 35: What are World Models?

Topic 35: What are World Models?

A deep dive into the history and current advancements in world models and why they are an important puzzle piece for the future of AI

Alyona Vert.
Alyona Vert.
"Froth on the Daydream""Froth on the Daydream"
FOD#95: Llama. Kind AI. And Landscape of Foundation Agents

FOD#95: Llama. Kind AI. And Landscape of Foundation Agents

Our Research recommendation section is back!

Ksenia Se
Ksenia Se
AI AgentsAI Agents
🦸🏻#16: Co-Agency as The Ultimate Extension of Human

🦸🏻#16: Co-Agency as The Ultimate Extension of Human

how AI as a medium shapes our perception, behavior, and culture

Ksenia Se
Ksenia Se
AI 101AI 101
Topic 34: Things You Need to Know About Inference

Topic 34: Things You Need to Know About Inference

we dive into the core aspects of AI inference, explore how it works and what can make it faster

Alyona Vert.
Alyona Vert.
"Froth on the Daydream""Froth on the Daydream"
Gemini Is Rising While Anthropic Works on Opening the Black Box of AI

Gemini Is Rising While Anthropic Works on Opening the Black Box of AI

Plus, an amazing timeline of Anthropic’s work peeling back the black box of AI, the news from usual suspects, and a few good reads

Ksenia Se
Ksenia Se
AI 101AI 101
🦸🏻#15: Humans as Tools? The Surprising Evolution of HITL in Agentic Workflows

🦸🏻#15: Humans as Tools? The Surprising Evolution of HITL in Agentic Workflows

how human-AI co-agency is shaping the future of intelligent systems

Ksenia Se
Ksenia Se
AI 101AI 101
Topic 33: Slim Attention, KArAt, and XAttention Explained – What’s Really Changing in Transformers?

Topic 33: Slim Attention, KArAt, and XAttention Explained – What’s Really Changing in Transformers?

We explore three advanced attention mechanisms which improve how models handle long sequences, cut memory use and make attention learnable

Alyona Vert.
Alyona Vert.
"Froth on the Daydream""Froth on the Daydream"
FOD#93: When AI meant Ambient Intelligence

FOD#93: When AI meant Ambient Intelligence

and other stories from the past future, including assistants lived in desks, and the future ran on buttons – a look back at the digital dreams that shaped today

Ksenia Se
Ksenia Se
Interviews with InnovatorsInterviews with Innovators
🎙️🧩 TP/Inference: Sharon Zhou on AI Hallucinations, Agents Hype, and Giving Developers the Keys to GenAI

🎙️🧩 TP/Inference: Sharon Zhou on AI Hallucinations, Agents Hype, and Giving Developers the Keys to GenAI

How they do a surgery on a model, rethink AI education and unlock the real magic of generative AI

Ksenia Se
Ksenia Se
AI 101AI 101
Topic 32: What is Qwen-Agent framework? Inside the Qwen family

Topic 32: What is Qwen-Agent framework? Inside the Qwen family

we discuss the timeline of Qwen models, focusing on their agentic capabilities and how they compete with other models, and also explore what is Qwen-Agent framework and how you can use it

Alyona Vert.
Alyona Vert.
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