In the early '00s, Geoff Hinton introduced the contrastive divergence algorithm, allowing the training of the restricted Boltzmann machine. Harmoniums, or restricted Boltzmann machines, are neural networks operating on binary data, with visible and hidden units, and are useful for modeling discrete data.
ChatGPT, a large language model, has made significant progress in tool use and reasoning, with researchers equipping it with external tools like code interpreters and search engines, as well as exploring its internal reasoning capacities. The surge in language model papers in 2023 reflects the community's interest and the potential for practical applications.
Wipro's collaboration with AWS helps organizations overcome challenges in managing isolated data science solutions, offering automation, scalability, and model quality. By implementing Amazon SageMaker, Wipro addresses collaboration, scalability, MLOps, and reusability challenges for its customers.
GenAI is in high demand, but building a model that drives business value is challenging. Quick integrations won't cut it, and differentiation is key. High-quality proprietary data is the GenAI differentiator for success.
Microsoft's Orca-2 LLM is a significant development, showcasing the possibility of creating effective, small, fine-tuned language models. The use of synthetic training data generated by other LLMs is a fascinating concept with significant implications for the future.
Generative AI has unlocked potential in AI, including text generation and code generation. One area evolving is using NLP to generate SQL queries, making data analysis more accessible to non-technical users.
Spain's second-biggest mobile operator, Orange España, experienced a major outage due to a security breach where an unknown party obtained a weak password and accessed an account managing the company's internet traffic. The breach occurred when the party logged into Orange's RIPE NCC account using the password "ripeadmin."
Discover how to achieve parameter efficiency in finetuning with LoRA, including strategies for adapting linear modules and optimizing learning rates. This article explores the deliberate design decisions that can enhance model performance, GPU memory utilization, and training speed, offering a nuanced understanding and greater control.
The article discusses the growing disconnect between clinical practice and AI research in healthcare, emphasizing the lack of clinician participation and collaboration. It highlights the need for a practical approach in identifying actual problems and evaluating if AI can develop better solutions in healthcare.
Pedro Soares, aka Blendeered, showcases his stunning NVIDIA-themed New Year's celebration animation, highlighting the power of technological innovation and NVIDIA Studio's impact on content creation. Using Blender and the NVIDIA GeForce RTX 4090 GPU, Blendeered creates a futuristic city scene with real-time rendering, OptiX ray tracing, and AI-powered tools like NVIDIA Canvas.
AI experimenters have quickly taken advantage of three early Mickey Mouse cartoons entering the public domain in the US, using an AI model trained on those cartoons to create new still images of Mickey Mouse, Minnie Mouse, and Peg Leg Pete. While the results are sometimes garbled, this early experimentation showcases the potential of integrating public domain characters into the AI space.
Boost the performance of supervised fine-tuned models using Reinforcement Learning from Human Feedback (RLHF) to address biases and toxicity. NeuralHermes-2.5, fine-tuned using Direct Preference Optimization (DPO), significantly improves base model performance on the Open LLM Leaderboard.
Recent research explores how decision trees and random forests, commonly used in machine learning, suffer from bias due to the assumption of continuity in features. The study proposes simple techniques to mitigate this bias, with findings showing a 0.2 percentage point deterioration in performance when attributes are mirrored.
The article explores how the Python package mlscorecheck can be used to test the consistency of reported machine learning performance scores and experimental setups. The mlscorecheck package provides numerical techniques to determine if the reported scores could be the result of the claimed experiment.
2024 could be the tipping point for Music AI, with breakthroughs in text-to-music generation, music search, and chatbots. However, the field still lags behind Speech AI, and advancements in flexible and natural source separation are needed to revolutionize music interaction through AI.