NEWS IN BRIEF: AI/ML FRESH UPDATES

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Unveiling Modern QA Architectures

Discover design approaches for building scalable QA applications using Extractive and Open Generative architectures. Learn about retrievers, readers, and vector databases like Faiss and Pinecone for efficient information retrieval.

'AI Streamlining Robotic Warehouse Operations'

MIT researchers developed a deep-learning model to decongest robotic warehouses, improving efficiency by nearly four times. Their innovative approach could revolutionize complex planning tasks beyond warehouse operations.

Mastering Prompting for LLMs

Exciting developments in Large Language Models (LLMs) have revolutionized communication, prompting is key to harnessing their in-context learning abilities. Companies like Prompting Llama and GPT-3.5 are leading the way in innovative prompting strategies for LLMs.

Decoding Machine Learning Failures

Machine learning pitfalls: overfitting, misleading data, hidden variables. Examples include failed Covid prediction models and water quality system. REFORMS checklist introduced to prevent errors in ML-based science.