Beyond LLMs: Intelligence Trinity
Evta broke AI down into an “Intelligence Trinity” — Variable‑Based Models, Probabilistic Graphical Models, and Formal Logic — arguing these are essential complements to LLMs for real reasoning posted. Umesh Kumar Yadav also published a 10‑concept checklist for AI engineering in 2026 (Tokens, Embeddings, Transformers, RAG, Agents, etc.) tying fundamentals to production systems shared.
Arcee AI’s "Trinity" family — including a Trinity‑Large preview trained on more than 17 trillion tokens — was published to Hugging Face and announced in the model repo. huggingface.co Umesh Kumar Yadav maintains AI engineering writeups on Medium under the name "Umesh Kumar Yadav" and a developer profile on GitHub (hello‑umesh) that lists his background in Java and systems work. medium.com The X link for Evta (status 2032583453414404430) returned no public content when fetched, while the X link for Umesh (status 2032389278123377026) likewise could not be retrieved via a public open; both fetch attempts returned empty pages. x.com Broader web signals around the same time show industry guidance on RAG/chunking from Databricks and a major multimodal embeddings launch (Gemini Embedding 2) that echo the practical checklist topics (tokens, embeddings, RAG, agents) seen in the card — but the original X threads named in the card were not accessible for direct verification. community.databricks.com
