Common Corpus: A Large Public Domain Dataset for Training LLMs

Several Chinese influencers have profited by selling short AI video courses, exploiting people’s fears about the technology’s impact. However, after complaints about the courses’ superficiality and refund difficulties, the platforms began suspending and removing the influencers’…

Practical AI Solutions for Vulnerability Management Challenge of Resolving Vulnerabilities Upon scanning their code for vulnerabilities, companies frequently encounter numerous findings. It takes an average of three months for firms to resolve a vulnerability, and 60%…

The rapid adoption of OpenAI’s ChatGPT, a revolutionary AI innovation by Google Cloud, has raised concerns about its increasing energy consumption. A peer-reviewed analysis predicts that by 2027, AI servers could consume between 85 to 134…

SEC Chairman Gary Gensler emphasizes the importance of regulating AI in order to prevent a financial crisis. He expresses concerns about the potential for overreliance on AI tools by financial institutions, which could lead to a…

L1 and L2 regularization are techniques used in machine learning to prevent overfitting. Overfitting occurs when a model is too complex and learns from both the underlying patterns and the noise in the training data, resulting…

In this paper, the researchers study how to improve the accuracy of device-directed speech detection (DDSD) systems, which distinguish between voice assistant queries and side conversations or background speech. They explore fusion schemes to make the…

The modern object detection heavily relies on deep learning models trained end-to-end with larger and more diverse datasets. Data augmentation offers a way to boost performance without adding new annotations. AWS AI’s research explores generative data…

Evaluating Large Language Models (LLMs) Challenges and Solutions Evaluating large language models (LLMs) has become increasingly challenging due to their complexity and versatility. Ensuring the reliability and quality of these models’ outputs is crucial for advancing…

This text explains the concept of Intersection over Union (IoU) in object detection models. IoU measures the accuracy of the object detector by evaluating the overlap between the detection box and the ground truth box. The…

MiniCPM-V 2.6: A GPT-4V Level Multimodal LLMs for Single Image, Multi-Image, and Video on Your Phone Key Features of MiniCPM-V 2.6: MiniCPM-V 2.6 is a cutting-edge model with 8 billion parameters, offering leading performance and new…

The Challenge of LLMs in Handling Long-context Inputs Large language models (LLMs) like GPT-3.5 Turbo and Mistral 7B struggle with accurately retrieving information and maintaining reasoning capabilities across extensive textual data. This limitation hampers their effectiveness…

Understanding the Value of Knowledge Graphs in Finance Knowledge graphs are transforming financial practices, especially in competitor analysis. They efficiently organize complex data to uncover insights and connections between companies, replacing manual methods with scalable solutions.…

This work introduces the INTERS dataset to enhance the search capabilities of Large Language Models (LLMs) through instruction tuning. The dataset covers various search-related tasks and emphasizes query and document understanding. It demonstrates the effectiveness of…

Google’s Bard now powered by Gemini Pro offers free chatbot services in over 40 languages and 230 countries. With advanced understanding and image generation using Imagen 2 model, Bard closes the gap with other AI chatbots…

Researchers from Meta AI and ETH Zurich have introduced a new method called COVE (Chain-of-Verification) to tackle hallucinations in language models. By using verification questions to assess and improve initial responses, they achieved greater accuracy in…

IBM Research has developed a new computer chip called NorthPole that significantly improves the speed of AI-based image recognition applications. The chip, inspired by the human brain, offers a 22-fold increase in processing speed compared to…

GPT4All 3.0: Redefining Local AI Interaction In the rapidly evolving field of artificial intelligence, the accessibility and privacy of large language models (LLMs) have become pressing concerns. As major corporations seek to monopolize AI technology, there’s…

The Value of Large Language Model (LLM) Quantization The domain of large language model (LLM) quantization has garnered attention due to its potential to make powerful AI technologies more accessible, especially in environments where computational resources…