Archive

"Froth on the Daydream""Froth on the Daydream"
🌁#86: Four Freedoms of Open AI

🌁#86: Four Freedoms of Open AI

– what are they? Defining the future

Ksenia Se
Ksenia Se
AI AgentsAI Agents
🦸🏻#9: Does AI Remember? The Role of Memory in Agentic Workflows

🦸🏻#9: Does AI Remember? The Role of Memory in Agentic Workflows

we explore SOAR’s legacy, memory types, generative workflows, memory mode in LLM, and AI influence on memory itself

Ksenia Se
Ksenia Se
Community TwistCommunity Twist
eBook: Mastering AI Agents

eBook: Mastering AI Agents

Learn how to create powerful, reliable AI agents with Galileo's in-depth eBook

AI 101AI 101
Topic 25: The Keys to Prompt Optimization

Topic 25: The Keys to Prompt Optimization

Practical Insights for Large Language Models

Isabel González
Isabel González
Community TwistCommunity Twist
🌁#85: Curiosity, Open Source, and Timing: The Formula Behind DeepSeek’s Phenomenal Success

🌁#85: Curiosity, Open Source, and Timing: The Formula Behind DeepSeek’s Phenomenal Success

How an open-source mindset, relentless curiosity, and strategic calculation are rewriting the rules in AI and challenging Western companies, plus an excellent reading list and curated research collection

Ksenia Se
Ksenia Se
AI AgentsAI Agents
🦸🏻#8: Rewriting the Rules of Knowledge: How Modern Agents Learn to Adapt

🦸🏻#8: Rewriting the Rules of Knowledge: How Modern Agents Learn to Adapt

Exploring the shift from static rules to dynamic reasoning in modern AI agents

Ksenia Se
Ksenia Se
AI 101AI 101
Topic 24: What is Cosmos World Foundation Model Platform?

Topic 24: What is Cosmos World Foundation Model Platform?

World models are the next big thing that enables Physical AI. Let's explore how NVIDIA makes it happen

Alyona Vert.
Alyona Vert.
"Froth on the Daydream""Froth on the Daydream"
🌁#84: Could Program Synthesis Unlock AGI?

🌁#84: Could Program Synthesis Unlock AGI?

we discuss François Chollet's combinatorial approach to reaching AGI, plus offer you a collection of interesting articles, relevant news, and must-read research papers. Dive in!

Ksenia Se
Ksenia Se
AI 101AI 101
+1+1
Topic 23: What is LLM Inference, it's challenges and solutions for it

Topic 23: What is LLM Inference, it's challenges and solutions for it

Plus a Video Interview with the SwiftKV Authors on Reducing LLM Inference Costs by up to 75%

Ksenia Se
Ksenia Se
Community TwistCommunity Twist
Guest post: Enhancing RAG with RA-DIT: A Fine-Tuning Approach to Minimize LLM Hallucinations*

Guest post: Enhancing RAG with RA-DIT: A Fine-Tuning Approach to Minimize LLM Hallucinations*

RA-DIT, or Retrieval-Augmented Dual Instruction Tuning, is a method for fine-tuning both the LLM and the retriever in a RAG setup to enhance overall response quality

Ruben Winastwan
Ruben Winastwan
"Froth on the Daydream""Froth on the Daydream"
🌁#83: GAN is back

🌁#83: GAN is back

we’re revisiting classics. Are GANs still worthy of their title as one of the most captivating ideas in ML? plus collection of interesting articles, relevant news and must-read research papers. Dive in!

Ksenia Se
Ksenia Se
AI AgentsAI Agents
🦸🏻#7: From Agentic AI to Physical AI

🦸🏻#7: From Agentic AI to Physical AI

How Jensen Huang worked backwards to start creating the future for the world + trends in AI and Robotics to keep an eye on

Ksenia Se
Ksenia Se
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