Summary: Learn how to optimize hardware for faster GPT-2 training on NVIDIA GPUs, with insights on timing code and setting batch sizes for maximum efficiency. Achieve significant speed gains (up to 10x) using an Ampere-series Nvidia GPU.
AI is making it easier for scammers to fool anyone, even tech-savvy individuals like Arwa Mahdawi in NYC. The story highlights the growing sophistication of AI in perpetuating scams, posing a challenge for individuals to stay vigilant.
Cloudflare's role in protecting websites from DDoS attacks sparks debate on free speech vs. enabling abuse. Spamhaus criticizes Cloudflare for serving sites with unresolved abuse complaints, raising questions on neutrality.
Machine learning model predictions in credit card fraud detection evaluated using confusion matrix and metrics. Understanding true positives, false positives, false negatives, and true negatives crucial for model performance assessment.
MIT startup Striv developed tactile sensing technology for shoe inserts, used by elite athletes like USA marathoner Clayton Young and Jamaican Olympian Damar Forbes. Founder Axl Chen aims to bring this tech to the public after Paris 2024 Olympics, following success in VR gaming and interest from various industries.
Assigning experimental units to treatments is crucial, but can be complex. Hash spaces offer a simple solution for scalable, random assignments.
Guardrails for Amazon Bedrock ensure responsible AI use by evaluating user inputs and model responses. ApplyGuardrail API offers ease of use and decoupling from foundation models, allowing for ethical content generation.
OpenAI introduces Advanced Voice Mode for ChatGPT Plus subscribers, enabling natural, real-time conversations with AI. Users impressed by feature's responsiveness, emotional cues, and realistic voice simulations.
LLMs show promise in evaluating SQL generation, with F1 scores of 0.70-0.76 using GPT-4 Turbo. Including schema info reduces false positives.
Researchers from MIT and the MIT-IBM Watson AI Lab have developed Thermometer, a calibration method tailored to large language models, ensuring accurate and reliable responses across diverse tasks. Thermometer involves building a smaller model on top of the LLM, preserving accuracy while reducing computational costs, ultimately providing users with clear signals to determine a model's reliability.
AWS Japan's LLM Development Support Program aids innovative companies in leveraging large language models (LLMs) to drive progress and boost productivity. Ricoh's bilingual LLM training strategy showcases how organizations are transforming possibilities with generative AI on AWS.
Android malware Mandrake resurfaces in Google Play after years of stealth, targeting victims with intricate spying activities. Bitdefender unveils Mandrake's advanced evasion tactics, including kill switch and decoy apps, affecting tens of thousands of users.
OpenAI faces financial challenges as it spends $5bn more than revenue. ChatGPT's role in producing 'bullshit' content raises concerns about AI ethics and accuracy.
Graph databases, like Neo4j, bridge the gap between relational and flat data representations, making it easier to access information. Digital transactions are increasingly vulnerable to fraud, with a 149% global increase reported by TransUnion.
Perplexity introduces revenue-sharing program for publishers to compete with Google. Major media outlets like Forbes and Wired involved in plagiarism allegations.