2025 in Review: Jagged Intelligence Becomes a Fault Line
Looking back on 2025, the incredible pace of AI is stunning. But fast growth brings disconnects.
2025, ai
ai
2025, ai, tools
How Model Use Has Changed in 2025
We aren’t just asking for text completion or chat, a good chunk of us are now hitting a single endpoint that can execute code, use a computer, manipulate files, and search the web.
Agentic AI, ai, AI Agents, API, Artificial Intelligence, Automation, biopharma, Blog, ChatGPT, data, genai, generative-ai, healthcare, Innovation, Life Sciences, NLG, Pharma, technical infrastructure, Technology, user experience, ux, workflow, Yseop, Yseop Copilot
2025: The Year Pharma Crossed the AI Threshold
The promise of AI in pharma has been circulating for years. In 2025, the industry stopped talking about potential and started designing around it.
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ai, deep-learning, llm, Machine Learning
From Random Forests to RLVR: A Short History of ML/AI Hello Worlds
Two years ago, I posted a list of Hello World examples for machine learning and AI on social. Here, the Hello World means beginner-friendly examples to…
2025, Agents, ai, enterprise
Enterprise Agents Have a Reliability Problem
Every enterprise AI report tells the same story once you look past the headlines: chatbot adoption is booming, internal pilots are failing. Reliability is the barrier holding agents back.
ai, deep-learning, llm, Machine Learning
From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates
Similar to DeepSeek V3, the team released their new flagship model over a major US holiday weekend. Given DeepSeek V3.2’s really good performance (on GPT-5…
ADK, ai
4 Google ADK Production Challenges and How to Solve Them
Framework enthusiasm is easy when prototypes work. You’ve read about why developers are switching to Google ADK, seen real implementation stories, and maybe even built your first agent. The framework’s strengths are clear: intuitive developer experience, built-in debugging tools, and seamless multi-agent orchestration. Like any technology, ADK has its challenges—especially when moving from prototype to […]
Artykuł 4 Google ADK Production Challenges and How to Solve Them pochodzi z serwisu DLabs.AI.
ADK, ai, Software
8 Reasons Developers Switch to Google ADK: Insights from Developer Interviews
We conducted in-depth interviews with developers who have hands-on experience with ADK and distilled their experiences into 8 key points.
Artykuł 8 Reasons Developers Switch to Google ADK: Insights from Developer Interviews pochodzi z serwisu DLabs.AI.
ai, deep-learning, llm, Machine Learning
Recommendations for Getting the Most Out of a Technical Book
This short article compiles a few notes I previously shared when readers ask how to get the most out of my building large language model from scratch books…