TL;DR summary of stories on the internet
TLDR: Salesforce has trained a series of 7 billion language models (LLMs) called XGen-7B with up to 8,000 tokens per sequence. These models achieve comparable or better results than other open-source LLMs on standard benchmarks, and the 8K-seq models outperform the 2K- and 4K-seq models in long sequence modeling. XGen-7B performs well in both text […]
Read more »
Today, OpenOrca, an open-source dataset and series of instruct-tuned language models, is being announced. The inspiration for this project came from reading the Orca paper by Mukherjee et. al. of Microsoft, which showcased some impressive research. However, it was uncertain whether Microsoft would release the dataset, so the decision was made to replicate their efforts […]
The author explains that the command line is a powerful tool for processing data, offering flexibility, scriptability, and control. They highlight the ability to use commands like awk and sort to extract specific fields and sort data based on specific columns. They also mention the usefulness of creating scripts to automate repetitive tasks. The author […]
Cooklang offers a set of tools that aim to simplify recipe management, shopping routines, and make cooking more enjoyable. The Cooklang ecosystem is built on the principle of using human-readable text files for recipes, eliminating the need for databases. Users have full control over their information and can rely on simple, focused, and efficient tools […]
In a controversial 2021 Nature paper, Google’s reinforcement learning (RL) approach to designing silicon chips created a stir. The paper’s claims, which lacked proper documentation, raised eyebrows and attracted critical media attention. To make matters worse, the Nature paper failed to provide key inputs and omitted crucial steps in the methodology. Two separate evaluations were […]
Prompt engineering, also known as ChatGPT-ing, is the process of effectively interacting with large language models (LLMs) like ChatGPT. One challenge is that text input has infinite possibilities, which can lead to harmful content or false information. Model-level alignment techniques aim to ensure that the model understands the difference between good and bad prompts. However, […]
In this web content, the author defends ORM (Object-Relational Mapping) technology against common criticisms. They acknowledge that ORMs are not perfect, but argue that they are often misunderstood and misused. The author highlights that ORMs and databases operate under different paradigms, and this can lead to challenges in achieving bidirectional linking. The article discusses how […]
Flashy banner ads on websites may be a necessary evil due to the need for creators to make money and advertisers to gain visibility. However, there seems to be no excuse for websites to include unnecessary flashing elements that annoy and distract users. Surprisingly, a survey revealed that 88% of people find these elements annoying, […]
NVIDIA H100 Tensor Core GPUs have been recognized for their exceptional AI performance, particularly in the field of generative AI using large language models (LLMs). These GPUs have set new records in the latest MLPerf training benchmarks for generative AI. In one test, a cluster of 3,584 H100 GPUs completed a GPT-3-based training benchmark in […]
Google Ads’ dominance in the search engine industry creates a conflict of interest, as the platform’s profitability is tied to ad revenue. This results in inflated costs and intense competition for advertisers, making it difficult for small businesses with limited budgets to effectively compete. To address these issues, Google should provide more transparency and cost-effective […]