LLM-native app success relies on effective prompt engineering. Follow 8 tips informed by LLM Triangle Principles for optimal results. Clear cognitive process boundaries and specified input/output structures are key to enhancing LLM applications.
Israeli NGO Madrasa teaches Arabic to Hebrew speakers with unique multilingual data. Volunteers analyze diverse student responses for insights.
Exploring language translation with HuggingFace library using the T5 model and Opus system. Custom data fine-tuning for English to Italian translation success after intense effort.
Implementing a neural network autoencoder for anomaly detection involves normalizing and encoding data to predict input accurately. The process includes creating a network with specific input, output, and hidden nodes, essential for avoiding overfitting or underfitting.
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.
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.
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.
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.
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.
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.
Data Science Consulting: Overcoming challenges in collaborative environments. Strategies for successful project delivery. Addressing misunderstandings, lack of insight, and low productivity.
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.
MIT CSAIL researchers developed RialTo, a system that creates digital twins for training robots in specific environments faster and more effectively. RialTo improved robot performance by 67% in various tasks, handling disturbances and distractions with ease.
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.