NEWS IN BRIEF: AI/ML FRESH UPDATES

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Guardrails for Responsible AI

Large language models (LLMs) enable human-like conversations but can also spread misinformation and harmful content. Guardrails are crucial for mitigating risks in LLM applications, ensuring safe and desirable outputs.

Accelerating Generative AI with Amazon SageMaker Ground Truth

Krikey AI leverages Amazon SageMaker Ground Truth to efficiently label vast amounts of data for their innovative 3D animation platform, democratizing AI animation creation. This partnership enables Krikey AI to quickly obtain high-quality labels tailored to their needs, accelerating the development of their text-to-animation model.

Maximizing Sales Metrics

Sales performance is often measured incorrectly, leading to inaccurate assessments. Quality of leads is a crucial factor in evaluating sales agents' performance accurately.

Geologists wary of Chinese chatbot bias

Chinese-funded GeoGPT chatbot raises concerns among geologists for potential censorship and bias, developed with IUGS support. Aimed at global south researchers, it leverages vast data to enhance understanding of earth sciences.

Mastering Exact Match with Amazon Lex

Amazon Lex QnAIntent, powered by Amazon Bedrock, enables real-time conversational experiences with natural language understanding. Exact match capabilities with Amazon Kendra and OpenSearch Service cater to enterprise customers' regulatory needs.

Unleashing the Power of GenAI: Building Fill.sg

Ministry of Social and Family Development and GovTech's team created Fill. sg in 2 weeks at LAUNCH! Hackathon to simplify report writing using AI. Leveraging long-context models and a user-friendly interface, Fill. sg aims to streamline report generation for public service officers.

Emotional AI: The Pitfalls of 80% Anger, 2% Sadness

Hume, a Manhattan-based startup, has developed the world's first voice AI with emotional intelligence, raising concerns over potential misuse and bias in the field of AI that reads feelings. Testing the limits of this technology involves expressing emotions like love through text, highlighting the potential dangers of emotional AI.

Unlocking the Brain: CLIP and LLaVA

Recent multimodal transformer networks like CLIP and LLaVA are compared to the brain in terms of attention. Vision transformers perform pre-attentive visual processing similar to the brain, but struggle with complex tasks. The brain's bidirectional activity allows for conscious top-down attention and automatic feedback, enhancing perception and cognition.

Unlocking Private Hubs: SageMaker JumpStart Model Management

Amazon SageMaker JumpStart offers pre-trained models and a private hub feature for granular access control, empowering enterprise admins to centralize model artifacts and enforce governance guardrails. Admins can create multiple private hubs with tailored model repositories, allowing users to access and consume curated models while maintaining centralized control.

Mastering EDA: 11 Essential Steps

Summary: Communicate with stakeholders to set analysis goals, align expectations, and develop research questions for effective exploratory data analysis. Identify knowns and unknowns to build a strong foundation for your analysis process.

Unleashing the Power of NVIDIA AI Workbench

NVIDIA AI Workbench simplifies generative AI development with RAG applications, enabling customized models and seamless collaboration. The free tool streamlines setup and offers ease of collaboration across platforms for data scientists and developers.