This text discusses how to improve the learning and training process of neural networks by tuning hyperparameters. It covers computational improvements, such as parallel processing, and examines hyperparameters like the number of hidden layers, number of neurons, learning rate, batch size, and activation functions. The text also provides a Python example using PyTorch and references…
TRL (Training with Reward Learning) is a full-stack library that enables researchers to train transformer language models and stable diffusion models using reinforcement learning. It includes tools such as Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO). TRL is an extension of Hugging Face’s transformers collection and supports various language models. It…
This article discusses the development of a GPT-based virtual assistant for Enefit, an energy company in the Baltics. It highlights the importance of data/information governance in ensuring accurate responses from the virtual assistant. It also emphasizes the need for guidance and training to customize the behavior and style of the assistant. The article concludes that…
Researchers from Peking University, UCLA, Beijing University of Posts and Telecommunications, and Beijing Institute for General Artificial Intelligence have developed JARVIS-1, a multimodal agent for open-world tasks in Minecraft. JARVIS-1 combines pre-trained multimodal language models to interpret visual observations and human instructions, generating plans for control. It achieves nearly perfect performance in over 200 tasks…
Researchers from the University of Washington and Duke University have developed Punica, a multi-tenant serving framework for LoRA models on a shared GPU cluster. By utilizing a new CUDA kernel called SGMV, Punica enables efficient batching of requests from multiple LoRA models, resulting in improved GPU usage and throughput. The paper details the contributions and…
This blog post discusses the options and benefits of parallelizing Python code on Spark when working with Pandas. It compares Pandas UDFs and the ‘concurrent.futures’ module as two approaches to concurrent processing in order to determine their use cases. The post also covers the challenges of working with large datasets and the performance results of…
The data job market has been challenging, with a significant decrease in job postings from Big Tech companies (FAANG) but slight improvement in hiring by other companies. The overall job market seems to be recovering after a dip in May. There is a higher demand for data engineers compared to data scientists or data analysts.…
Researchers from Shanghai Jiao Tong University and China University of Mining and Technology have developed TransLO, a LiDAR odometry network that combines CNNs and transformers to enhance global feature embeddings and outlier rejection. TransLO outperforms existing methods on the KITTI odometry dataset with superior accuracy and efficiency. Components like WMSA and MCFA were evaluated through…
SPHINX is a multi-modal large language model that addresses the limitations of existing models in understanding visual instructions and performing diverse tasks. It integrates model weights, tuning tasks, and visual embeddings to excel in tasks like human pose estimation and object detection. SPHINX’s fine-grained visual understanding and collaboration with other models make it a frontrunner…
Amazon researchers have developed KD-Boost, a knowledge distillation technique, to address the challenges of real-time semantic matching in web search and e-commerce product search. KD-Boost uses ground truth and soft labels from a teacher model to train low-latency, accurate student models. The technique has shown significant improvements in relevance, query-to-query matching, and product coverage.
Apple is sponsoring the EMNLP conference in Singapore from December 6 to 10. EMNLP is a prominent conference on natural language processing. Apple will host workshops and events during the conference.
Learn how to accelerate feature selection, which typically involves creating multiple models and can be sluggish, thanks to the tips provided in the article on Towards Data Science.
AI Config from LastMile Ai is an innovative tool that revolutionizes AI application development. It allows developers to separate application code from model logic, resulting in a more efficient and collaborative development process. AI Config offers advantages such as collaborative development, enhanced prototyping, governance and control, rapid iteration and deployment, a user-friendly interface, open-source support,…
Lelapa AI, a collaboration between Jade Abbott and Pelonomi Moiloa, is working to create AI tools specifically designed for African languages. Their latest tool, Vulavula, can convert voice to text and detect names of people and places. The lack of AI tools for African languages excludes African people from economic opportunities. While efforts have been…
OpenAI has removed Sam Altman as CEO due to a lack of transparency in his communications with the board. Altman, known for his role in the generative AI industry, has been instrumental in shaping the field. Mira Murati, OpenAI’s CTO, has been appointed interim CEO. There is anticipation about what Altman’s next steps will be…
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This article provides a comprehensive guide to data backfilling in data engineering. It explains the concept of backfilling, highlights the differences between backfilling and restating a table, and emphasizes the importance of designing ETL processes with backfilling in mind. The article also discusses strategies for handling backfilling scenarios, such as utilizing Hive partitions and maintaining…
Google’s highly anticipated AI system, Gemini, has been significantly delayed and will now be launched in early 2024. The delay highlights Google’s struggle to match the hype around OpenAI’s ChatGPT. Despite efforts like releasing Bard and integrating AI features into smartphones, Google hasn’t been able to keep up with OpenAI’s advancements. Gemini was expected to…
Meta has unveiled two new AI tools, called “Emu Video” and “Emu Edit,” as part of its Emu AI research project. Emu Video allows users to create short video clips from text prompts, while Emu Edit allows custom edits on images through conversational prompts. These tools aim to transform video and image creation on Facebook…
The researchers from Tsinghua University, Microsoft Research, University of Wisconsin-Madison, HKUST, and IDEA Research introduce LLaVA-Plus, a general-purpose multimodal assistant that enhances the capabilities of large multimodal models. By combining tool chaining and end-to-end training techniques, LLaVA-Plus acquires tool usage skills to complete various real-world tasks. The paper presents LLaVA-Plus as a source-free multimodal assistant…