NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI Outsmarts University Markers

University of Reading researchers use AI-generated exam answers to deceive professors, raising concerns about academic integrity in student assignments. Fake student identities submitted ChatGPT-4 generated answers, outperforming real students in online assessments.

Mastering Conversational Chatbots with LLMs - Part 1

Amazon Bedrock simplifies generative AI model selection by offering a range of high-performing FMs from top AI companies through a single API. RAG enhances content generation by incorporating retrieval, improving accuracy and informativeness, with key components like foundation models, vector stores, retrievers, and embedders.

Mastering Sales Prioritization

Companies can boost revenue growth by over 300% with Predictive Lead Scoring over traditional methods. Machine Learning prioritization is key for effective lead management and higher conversion rates.

Streamlining Derivative Confirms with AWS AI

AI/ML technologies can automate derivative trade settlement processes, improving efficiency and reducing errors in capital market operations. AWS AI services, including Amazon Textract and Serverless technologies, offer a scalable solution for intelligent document processing in the post-trade lifecycle.

The Bright Side of AI: Claude 3.5 Optimistic About Its Future

Anthropic's latest AI model, Claude LLM, outperforms competitors like OpenAI in coding and text-based reasoning, with improved nuance and humor understanding. External experts have evaluated the safety mechanisms in Claude 3.5 Sonnet, highlighting a commitment to safety and transparency in AI development.

Enhancing LLMs for Self-Driving with LangProp

ChatGPT powers autonomous driving research at Wayve using LangProp framework for code optimization without fine-tuning neural networks. LangProp presented at ICLR workshop showcases LLM's potential to enhance driving through code generation and improvement.

Revolutionizing AI: Matrix-Free LLMs

Researchers from UC Santa Cruz, UC Davis, LuxiTech, and Soochow University have developed an AI language model without matrix multiplication, potentially reducing environmental impact and operational costs of AI systems. Nvidia's dominance in data center GPUs, used in AI systems like ChatGPT and Google Gemini, may be challenged by this new approach using custom-programmed FPGA chips.

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.

Unlocking the Future of Chip Designs with 3D Visualization

Ansys utilizes NVIDIA technology to tackle complex challenges in 3D-IC design at the Design Automation Conference. Using NVIDIA Omniverse and Modulus, Ansys engineers can optimize chip performance and reliability with AI-based surrogate models for faster simulations.

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.