Impressive write-up, Tom — Shade’s approach to unifying storage and collaboration really feels like the next logical step for creative workflows. Could this kind of all-in-one platform eventually replace the fragmented toolchains most media teams rely on today?
New York startup replaces three media tools with one platform using FUSE, S3, and custom AI models.
1 Comment
🔥 Join developers growing publicly
Share your knowledge, build in public, and grow your developer presence with a global community.
Please log in to comment on this post.
More Posts
- © 2026 Coder Legion
- Feedback / Bug
- Privacy
- About Us
- Contacts
- Premium Subscription
- Terms of Service
- Refund
- Early Builders
chevron_left
182Posts
112Comments
71Connections
LLM Training & Evaluation Specialist with hands-on experience building major AI models. As one of th... Show moreLLM Training & Evaluation Specialist with hands-on experience building major AI models. As one of the original six members of Google's Bard training team (now Gemini) and current Meta AI Business Assistant evaluator, I understand how these models work from the inside out—and how developers can optimize them for production applications.
I specialize in LLM evaluation, prompt engineering, and RLHF (Reinforcement Learning from Human Feedback) methodologies. My focus is helping developers integrate LLMs into production systems: model fine-tuning strategies, prompt optimization, agentic workflows, AI-powered DevOps, and building reliable AI applications that actually work.
Having trained the core Google Bard model and interviewed 4,000+ technology executives across AI/ML infrastructure, I write about real-world LLM implementation challenges—not theoretical possibilities. I attend major tech conferences to understand what developers actually face when deploying AI in production environments. Show less
I specialize in LLM evaluation, prompt engineering, and RLHF (Reinforcement Learning from Human Feedback) methodologies. My focus is helping developers integrate LLMs into production systems: model fine-tuning strategies, prompt optimization, agentic workflows, AI-powered DevOps, and building reliable AI applications that actually work.
Having trained the core Google Bard model and interviewed 4,000+ technology executives across AI/ML infrastructure, I write about real-world LLM implementation challenges—not theoretical possibilities. I attend major tech conferences to understand what developers actually face when deploying AI in production environments. Show less
More From Tom Smithverified
Related Jobs
- AWS .NET Full-Stack Developer with AI ToolsMACHINE LEARNING TECHNOLOGIES LLC · Full time · California, MO
- Full-Stack Developer - Platform Services SMTSSalesforce · Full time · New York, NY
- CI/CD & PLATFORM AUTOMATION ENGINEER (DEVOPS)Unknown Company · Full time · Canada
Commenters (This Week)
Aljen Magat
60 comments
SCURA
2 comments
galian
1 comment
Contribute meaningful comments to climb the leaderboard and earn badges!