Early Stage VCย โขย 1y
Food for thought. Instead of building AI models/agents/RAGs, why not build for AI. There is a dearth of auxiliary products and services for AI development such as benchmarking, training environments, data cleaning, synthetic data generation etc. But I mostly just see people slapping an LLM/chatbot on a SaaS.
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NexLabsย โขย 3m
I've blogged on Medium after a brief break.. here is my new post: Before defence AI is tested in the real world, it needs to fail safely somewhere else. Real environments are expensive, unpredictable, and irreversible. Synthetic environments are c
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NexLabsย โขย 5m
The next compute revolution isnโt silicon. Itโs simulation. Synthetic data is the new GPU - and itโs changing how AI learns forever. Read Part 1 of our Simulation-First Thought Series (Vol. II) https://medium.com/@Srinath-N3XLabs/synthetic-data-is-t
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fullstack dev specia...ย โขย 10m
๐ Excited to share a new technical blog on building an AI-powered e-commerce chatbot using the Vercel AI SDK! Whether youโre a solopreneur, SaaS builder, SMB owner, or a developer, this open-source project shows how to: - Integrate conversational
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SucSEED Venturesย โขย 11m
Google DeepMindโs CaMeL: A Breakthrough in Stopping AIโs "Prompt Injection" Problem? For years, prompt injection attacks (where hidden instructions trick AI models into bypassing safeguards) have haunted developers. Despite countless fixes, no solut
See MoreSudheer kumarย โขย 11m
Proud Milestones with CleanXo! Post Body: Today, I want to share some achievements in my journey building CleanXo, my automated data science platform! Hereโs what Iโve accomplished so far: Designed the full vision for CleanXo: from data cleaning t
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Sudheer kumarย โขย 1y
"I'm building an automated data cleaning platform, CleanXo, that simplifies the entire data preprocessing pipeline. It will automatically detect and handle outliers (Z-score, IQR, Isolation Forest), perform feature engineering, generate insights with
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