A production-ready pipeline for fine-tuning LLaMA-2 7B model with LoRA (Low-Rank Adaptation) on custom Q&A data and deploying it as a FastAPI microservice with async batching on Kubernetes.

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Any decision on adjustment to the flexible inflation targeting (FIT) framework should be based on relevant facts such as pre- and post-FIT Indian inflation and growth performance. In the pre-FIT ...

People often say you can't reinvent the wheel. Pokémon Legends: Z-A proves that sometimes you can improve on perfection, and while some changes need some fine-tuning, the experience it delivers is one ...

Abstract: Fine-tuning pre-trained vision-language models (VLMs) has shown substantial benefits in a wide range of downstream tasks, often achieving impressive performance with minimal labeled data.

Abstract: Motor imagery (MI) brain-computer interfaces (BCIs) face challenges posed by individual differences, and models trained on existing subjects are difficult to apply directly to target ...

ACE positions “context engineering” as a first-class alternative to parameter updates. Instead of compressing instructions into short prompts, ACE accumulates and organizes domain-specific tactics ...

Former OpenAI CTO Mira Murati’s AI startup, Thinking Machines Lab, has unveiled its first product aimed at helping developers easily fine-tune large language models (LLMs). Called Tinker, the ...

India’s stock market may have entered a new bullish phase led by improving earnings visibility, consumption revival, and easing FII selling, according to VK Vijayakumar, Chief Investment Strategist at ...