AI This Week: Revolutionary AI Tools and Trends Transforming the Tech Landscape
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Web Scraping
ScrapeGraphAI is a Python library that automates data extraction from websites, documents, and XML files using Large Language Models (LLMs). Users simply specify the information they want to extract, and the library handles the rest. The library allows users to define data requirements, while its AI manages the complexities of navigating and extracting structured data.
Chatbots
Secret Llama is an entirely-in-browser, fully private chatbot supporting various models including Llama 3, Mistral and other open-source models. This means all conversation data is only stored locally, even if the chatbot runs in a browser like Google Chrome or Microsoft Edge. Secret Llama does not need a server or installation, and can also work offline if needed. It has an easy-to-use interface similar to ChatGPT’s.
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Language Models
DeepSeek-V2, a Mixture-of-Experts language model, offers 236B total parameters, activating 21B per token, with a 128K context window capability. It places in the top three on AlignBench, demonstrating competitive performance against models like GPT-4. In MT-Bench, it outperforms models such as Mixtral 8x22B. This model specializes in math, code, and reasoning tasks, showing a marked performance advantage, particularly in environments that demand high reasoning capabilities.
Benchmarks
Since the start of the Open Interpreter project, there has been a need to benchmark how well agents could perform in real computer environments. The OSWorld repository presents a new way to benchmark multimodal agents for open-ended tasks in real computer environments. OSWorld is the first-of-its-kind scalable, real computer environment for multimodal agents, supporting task setup, execution-based evaluation, and interactive learning across various operating systems such as Ubuntu, Windows, and macOS. You can run it on a virtualized or non-virtualized platform and start evaluate agents and models for various tasks.
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Kudos to OpenAI for adding another layer of scrutiny with their DALL·E 3 content identifier.