OpenAI's report reveals AI used for disinformation campaigns from Russia, China, Israel, and Iran, but failed to reach large audiences. Generative AI models were employed to create and post propaganda across social media platforms.
Anthropic's recent paper delves into Mechanistic Interpretability of Large Language Models, revealing how neural networks represent meaningful concepts via directions in activation space. The study provides evidence that interpretable features correlate with specific directions, impacting the output of the model.
Major tech companies like Google, Microsoft, and Meta form UALink group to develop new AI accelerator chip interconnect standard, challenging Nvidia's NVLink dominance. UALink aims to create open standard for AI hardware advancements, enabling collaboration and breaking free from proprietary ecosystems like Nvidia's.
Key learnings for data scientists and managers: 1. Tell a story with data tailored to your audience. 2. Business acumen sets apart good from great data scientists, driving maximum impact for stakeholders.
Vitech partners with Amazon Bedrock to create VitechIQ, an AI-powered chatbot for internal documentation retrieval. Amazon Bedrock offers fully managed Knowledge Bases for AI-driven chatbots like VitechIQ.
An AI-generated graphic depicting refugee tents in Rafah becomes viral during Israel-Gaza war, with over 45m shares on Instagram. The image also gains traction on TikTok and Twitter, reaching millions of views and retweets.
Multimodal models like Claude3 and GPT-4V integrate text and images for enhanced understanding. Fine-tuning LLaVA on domain-specific data improves performance in various industries.
Meta AI's Llama, a popular large language model, faces challenges in training but can achieve comparable quality with proper scaling and best practices on AWS Trainium. Distributed training across 100+ nodes is complex, but Trainium clusters offer cost savings, efficient recovery, and improved stability for LLM training.
Large language models like GPT and BERT rely on the Transformer architecture and self-attention mechanism to create contextually rich embeddings, revolutionizing NLP. Static embeddings like word2vec fall short in capturing contextual information, highlighting the importance of dynamic embeddings in language models.
Former OpenAI board member reveals surprise over ChatGPT's public release on Twitter, shifting company focus. CEO Sam Altman's firing and rehiring events also discussed.
Continuous Integration (CI) and Continuous Delivery (CD) are key in ML development, fostering collaboration and ensuring stable model performance. Automated testing in MLOps streamlines code integration, enhances teamwork, and accelerates innovation.
AI agents like ChatGPT are proving AI's human-level competence. Agent Engineering Framework aims to design effective AI agents.
OpenAI faces backlash from Scarlett Johansson over new chatbot Sky resembling Her character. South Korea hosts second global AI summit; Alan Turing Institute report examines AI's impact on elections. Alex Hern discusses AI developments with Madeleine Finlay on BBC News.
Domain adaptation for LLMs explained in a 3-part series. Learn how AI models struggle outside their "comfort zone."
Microsoft’s Phi-3 creates smaller, optimized text classification models, outperforming larger models like GPT-3. Synthetic data generation with Phi-3 via Ollama improves AI workflows for specific use cases, offering insights into clickbait versus factual content classification.