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Shreesha R Bhat

ShreeshaBhat1004
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https://shreeshabhat1004.github.io/

AI & ML interests

NLP

Recent Activity

new activity 11 days ago
mr19/BITE_app_food_recipes:Pacchetti ricette per stile alimentare (vegetariana, vegana, carnivora, pesce, keto)
liked a model 11 months ago
bartowski/gemma-2-2b-it-GGUF
reacted to dhruv3006's post with 🔥 11 months ago
Pair a vision grounding model with a reasoning LLM with Cua Cua just shipped v0.4 of the Cua Agent framework with Composite Agents - you can now pair a vision/grounding model with a reasoning LLM using a simple modelA+modelB syntax. Best clicks + best plans. The problem: every GUI model speaks a different dialect. • some want pixel coordinates • others want percentages • a few spit out cursed tokens like <|loc095|> We built a universal interface that works the same across Anthropic, OpenAI, Hugging Face, etc.: agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", tools=[computer] ) But here’s the fun part: you can combine models by specialization. Grounding model (sees + clicks) + Planning model (reasons + decides) → agent = ComputerAgent( model="huggingface-local/HelloKKMe/GTA1-7B+openai/gpt-4o", tools=[computer] ) This gives GUI skills to models that were never built for computer use. One handles the eyes/hands, the other the brain. Think driver + navigator working together. Two specialists beat one generalist. We’ve got a ready-to-run notebook demo - curious what combos you all will try. Github : https://github.com/trycua/cua Blog : https://www.trycua.com/blog/composite-agents
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