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We present Tucano 2, a fully open suite of large language models (LLMs) with 0.5-3.7 billion parameters, designed to address certain gaps in open-source development for Portuguese LLMs. Following our ...
The world's 7,000+ languages vary widely in the availability of resources for NLP, motivating efforts to systematically categorize them by their degree of resourcefulness (Joshi et al., 2020). A simil...
Uncertainty quantification (UQ) for large language models (LLMs) is a key building block for safety guardrails of daily LLM applications. Yet, even as LLM agents are increasingly deployed in highly co...
The paradigm of Large Language Models (LLMs) is currently defined by auto-regressive (AR) architectures, which generate text through a sequential ``brick-by-brick'' process. Despite their success, AR ...
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Canonical route: /topics
Agent Handoff
Canonical ID llm-development | Route /topic/llm-development
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/llm-developmentMCP example
{
"tool": "search_papers",
"arguments": {
"query": "LLM Development",
"cluster": "LLM Development"
}
}source_context
{
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"mode": "topic",
"query": "LLM Development",
"normalized_query": "llm-development",
"route": "/topic/llm-development",
"paper_ref": null,
"topic_slug": "llm-development",
"benchmark_ref": null,
"dataset_ref": null
}Use This Via API or MCP
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