4 papers
SAGE-32B: Agentic Reasoning via Iterative Distillation
Basab Jha, Firoj Paudel, Ujjwal Puri +6
We demonstrate SAGE-32B, a 32 billion parameter language model that focuses on agentic reasoning and long range planning tasks. Unlike chat models that aim for general conversation…
SAGE Celer 2.6 Technical Card
SAGEA Research Team, Basab Jha, Firoj Paudel +8
We introduce SAGE Celer 2.6, the latest in our line of general-purpose Celer models from SAGEA. Celer 2.6 is available in 5B, 10B, and 27B parameter sizes and benefits from extensi…
Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models
Basab Jha, Firoj Paudel, Ujjwal Puri +3
Large Language Models (LLMs) have demonstrated remarkable capabilities at solving complex reasoning tasks with Chain-of-Thought (CoT) prompting, but their decision-making processes…
The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models
Basab Jha, Ujjwal Puri
While large language models, such as GPT and BERT, have already demonstrated unprecedented skills in everything from natural language processing to domain-specific applications, th…