Stochastic

The Most In-Demand AI Skills for 2025 According to the 2025 State of AI Innovation Report by A.Team, enterprises are prioritizing these top 5 Gen AI skills and capabilities: Gen AI Infrastructure Design (53%) - Strategic build vs. buy decisions - Scalable architecture planning - Enterprise-grade security implementation LLM Quality Testing (48%) - Measurement frameworks using perplexity, accuracy - Benchmark testing with F1 score and ROUGE metrics - Continuous improvement protocols LLM Customization (45%) - Advanced prompt engineering - Model fine-tuning methodologies - Custom model development LLM Training (44%) - Strategic data selection and preparation - Large-scale distributed training - Domain-specific fine-tuning Multimodality Integration (43%) - Seamless combination of text, images, video, and audio - Cross-modal reasoning capabilities - Unified AI experiences At Stochastic, we are building a full-stack AI agents with these capabilities deeply embedded into our application. This means organizations can deploy enterprise-grade AI agents without worrying about these technical complexities or piecing together multiple point solutions. What's your perspective? Which AI capabilities are most critical for your organization's specific use cases, and what implementation challenges are you facing?

We need to build AI agents with AGENCY. Most of the "AI agents" that I have tried in the market are not "agents" but "workflows" with predefined decision trees. Anthropic's blog post clarifies the difference between the two (thanks to Joe Rhew for sharing). I'd love to hear about the REAL agents out there. What are your favorite AI agent solutions?

With DeepSeek V3, we now have a fully open-source model that outperforms GPT-4 and Claude 3.5 Sonnet on multiple benchmarks. What is even more impressive is that this model was trained with only $5.5m on H800s! (note: DeepSeek V3 was trained on 2,048 H800s vs 16,000 H100s for LLaMA 3) 2025 will be wild. Here are my predictions for AI in 2025: - As scaling laws slow down and smaller open-source models become more performant, more AI solutions will be deployed privately / on-prem - How you leverage proprietary data will become more important than ever - Domain-specific reasoning enabled not by the largest models but by smaller models that are tuned on deep domain knowledge - Mainstream adoption of real-time voice interactions in enterprise settings - Many "GPT-wrapper" companies will fail to build upon their initial success targeting "low-end" applications (we saw this happening with GPT-3 wrapper companies) as they become commoditized - General AI assistants and agents will eventually be dominated by big tech as the models themselves become more performant - further driving out GPT-wrapper companies that are competing in the same space - More emphasis not on how to build around AI models but on how to build deeper integration into the models - More proactive AI agents, not just reactive ones - Real autonomous agents will emerge Is there anything that I missed?

We are now SOC 2 Type II compliant ?

NEW Partnership ?? The Omega Helix and Stochastic are revolutionizing the AI industry with their innovative solutions. ?? Collaborating with global specialists to develop digital excellence models ?? Partnering with Stochastic to create personal AI for everyone on the planet ?? Focusing on personalized, efficient language models for individual use ?? Addressing the centralization and privacy issues of current AI technology Contact us to learn more → https://omegahelix.online/ Sponsors: Harvard Innovation Labs, Omega Consulting, Keenan T. Thomas, MAcc, Glenn Ko, Yuji Chai

?? Stochastic in Austin for Data Council! ?? Glenn Ko, our CEO, is in Austin this week and will speak on Wednesday, March 27th at Data Council Austin '24, about creating seamless workflows with AI agents. ?? Connect in Austin! ?? Curious about AI's role in improving workflows? Want to see how Stochastic can help your business? We want to connect, share insights, and explore collaborations. Reach out on LinkedIn or glenn@stochastic.ai to set up a chat! #AI #DataCouncil #Stochastic #Austin #AIAgents