Gradient Flow
@GradFlowTech
Followers
75
Following
0
Media
38
Statuses
593
Official Account of Gradient Flow (https://t.co/DqotXS1cam) and The Data Exchange podcast (https://t.co/YWlNNZ9Stl)
San Francisco
Joined January 2023
The Reality of Time Series Foundation Models: A No-Nonsense Guide 📈
0
0
0
Inside the Black Box: How LLMs Really Think – Recent Discoveries from Anthropic https://t.co/Tg84qvDdmr
thedataexchange.media
Emmanuel Ameisen on LLM Hallucinations, Internal Reasoning, and Practical Engineering Tips.
0
0
0
Time Series Foundation Models: A Deep Dive for Practitioners 👉
0
0
0
🆕 Under the Hood of Gemini 3: Marketing Gloss vs. Actual Utility https://t.co/U56Rd44Bvu
gradientflow.com
With each new foundation-model launch, the provider arrives with a familiar script: emphasize the novel capabilities, publish benchmark charts, and explain why this version is different from both its...
0
0
0
Unpacking Time Series Foundation Models: What Matters (and What Doesn’t) →
0
0
0
3 Things Every Developer Gets Wrong About LLMs (According to Someone Who Studies Them at the Neural Level) 🔬 learn how to debug AI like a biologist dissecting a mouse [[ a conversation with Emmanuel Ameisen of Anthropic ]] https://t.co/Tg84qvDdmr
thedataexchange.media
Emmanuel Ameisen on LLM Hallucinations, Internal Reasoning, and Practical Engineering Tips.
0
0
0
Time Series Foundation Models Unpacked ✅ TSFMs are emerging as a powerful new default for forecasting, offering strong zero-shot performance by leveraging large, pre-trained models 👉
0
0
0
🆕 Time Series Foundation Models: What You Need to Know 1️⃣ Choosing the Right TSFM for Your Mission 2️⃣ The Problem with Adapting LLMs for Forecasting 3️⃣ Exploit enterprise relational graphs before chasing external text 👉
0
0
0
🆕 Time Series Foundation Models: What You Need To Know ✅ TSFMs are emerging as a powerful new default for forecasting, offering strong zero-shot performance by leveraging large, pre-trained models 👉
0
0
0
🚨🚨🚨 Trillion-Dollar Infrastructure Bets, Mass Layoffs, and the ROI Squeeze https://t.co/r4t9CWvRw9
0
0
0
Who Really Loses Their Job When AI Shows Up? 📥 When ‘AI Transformation’ Really Means ‘Headcount Reduction’ https://t.co/r4t9CWvRw9
1
0
0
How AI Is Reshaping Jobs, Budgets, and Data Centers 1️⃣ The 3 Hidden Ways AI Is Driving Workforce Reductions 2️⃣ The #1 Mistake Companies Make with AI ROI (And How to Avoid It). https://t.co/r4t9CWvjGB
1
0
0
AI Layoffs: Is It About Technology, or Just a Convenient Excuse for Cuts? ✅ The 3 Hidden Ways AI Is Driving Workforce Reductions ✅ The Brutal Math of AI: Maximizing ROI Often Means Rethinking Your Workforce https://t.co/r4t9CWvRw9
0
0
0
✅ Introducing the PARK Stack: The Future of Production #AI There are three primary strategies for enterprise AI adoption: extending legacy systems, using APIs exclusively, or building a unified platform. 👉
1
0
0
The Missing Piece: Why Software Engineering Principles Never Reached Data—Until Now 🙌 How AI Agents Will Transform the Data Engineer's Role: A Conversation with Bauplan's Ciro Greco https://t.co/useb84QDbB
thedataexchange.media
Ciro Greco on Git for Data, AI Agents, and the Future of the Lakehouse.
1
0
1