Building Castles in the Air, but With Surprise Physics
How does the probabilistic nature of AI change the nature of computer engineering?
ai, Engineering, programming
ai
ai, Job Titles, Language, Organizational Structure
Making Sense of AI Job Titles
AI job titles are a confusing mess of mix-and-match terms. This decoder ring breaks down the patterns behind titles.
ai, deep-learning, llm, Machine Learning
From GPT-2 to gpt-oss: Analyzing the Architectural Advances
OpenAI just released their new open-weight LLMs this week: gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2 in 2019. And yes, thanks…
ai, Organizational Structure, product-management
Bottleneck or Bisect: AI-Assisted Coding Will Change Product Management
AI-assisted engineers can code 2-5x faster, but product management work hasn’t accelerated at the same pace. Rather than wait for traditional PM processes, organizations are empowering hybrid engineer-PMs, FDEs, to build directly with customers.
ai, business, gpt
Building AI Virtual Assistants in 2025: 5 Critical Lessons from Our Platform Crisis
Your AI assistant demo was flawless. The stakeholders were impressed, the use cases were compelling, and the ROI projections looked incredible. But three weeks into production deployment, user complaints are pouring in, and your conversation flows are completely broken. Sounds like a nightmare? Unfortunately, this scenario is playing out across hundreds of organizations right now. […]
Artykuł Building AI Virtual Assistants in 2025: 5 Critical Lessons from Our Platform Crisis pochodzi z serwisu DLabs.AI.
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
Yseop Expands into CMC: Redefining Regulatory Automation Beyond Clinical
Yseop’s first CMC-focused offering automates the Quality Overall Summary (Module 2.3), a central component of regulatory submissions that pulls structured insights from Module 3.2.
The post Yseop Expands into CMC: Redefining Regulatory Automation Beyond Clinical appeared first on Yseop.
ai, deep-learning, llm, Machine Learning
The Big LLM Architecture Comparison
It has been seven years since the original GPT architecture was developed. At first glance, looking back at GPT-2 (2019) and forward to DeepSeek-V3 and…
ai, deep-learning, llm, Machine Learning
LLM Research Papers: The 2025 List (January to June)
The latest in LLM research with a hand-curated, topic-organized list of over 200 research papers from 2025.
ai, deep-learning, llm, Machine Learning
Understanding and Coding the KV Cache in LLMs from Scratch
KV caches are one of the most critical techniques for efficient inference in LLMs in production. KV caches are an important component for compute-efficient…
ai, Artificial Intelligence, Bioethics, clinical trials, Consent, Data Transparency, data-privacy, Digital Transformation, Ethics in Pharma, genai, generative-ai, GxP, Healthcare Innovation, Human Oversight, Informed Consent, Life Sciences, Patient-Centered Innovation, pharmaceutical, PharmaTech, Podcast, Responsible AI, Technology, Yseop
Karla Childers – Ethical Guardrails for AI in Pharma
Listen to the next episode of AI Uncovered with Karla Childers.
The post Karla Childers – Ethical Guardrails for AI in Pharma appeared first on Yseop.