An analysis of how well different AI systems perform in describing images and answering questions about them. The article compares ChatGPT, Gemini, Llama, and Claude using four images: a hand, a bottle of wine, a piece of pastry, and a flower.
Google has launched a public preview of Gemini Code Assist for individuals, offering up to 180,000 code completions per month, which is significantly more generous than competitors like GitHub Copilot. This tool is designed to support solo developers, students, hobbyists, freelancers, and startups with advanced AI capabilities, including generating entire code blocks and providing general coding assistance in various programming languages.
The paper "The Pursuit of Pseudocode Programming: Can LLMs Bridge the Gap?" explores the potential of Large Language Models (LLMs) to make pseudocode executable, addressing long-standing challenges in pseudocode programming. Pseudocode, known for its human-readable style, has been valuable for planning, communication, and education but has faced issues like lack of standardization, ambiguity, and limited expressiveness. LLMs offer new possibilities by handling ambiguity, generating code from pseudocode, and enhancing its expressiveness. Recent developments like SudoLang and pseudocode injection techniques demonstrate the potential of LLMs in this area. However, challenges remain in ensuring accuracy, reliability, and ethical considerations of LLM-generated code.
Key points:
- Pseudocode's benefits include improved efficiency, readability, and collaboration.
- Challenges include lack of standardization, ambiguity, and limited expressiveness.
- LLMs can interpret informal pseudocode, generate code, and enhance expressiveness.
- Developments like SudoLang and pseudocode injection show promise.
- Challenges include accuracy, debugging, and ethical considerations.
A web crawling project using Python, Selenium, Gemini, and Brightdata
- needs slight refactoring for openapi/llama.cpp integration
Google is developing new capabilities for its AI assistant Gemini in Android 16, allowing it to perform actions within apps, similar to Apple's plans for iOS 18.
Google is developing new features for its AI assistant, Gemini, through an API called "app functions" in the Android 16 developer preview. This API allows app developers to expose specific functionalities to the system, enabling Gemini to perform actions within apps without needing to open them directly. For example, users could order food from a restaurant using Gemini without launching a food delivery app.
This development is similar to Apple's efforts in iOS 18, where Siri is gaining the ability to take actions in apps. While Apple's update is expected in spring 2025, Google's integration could provide users with a more integrated and useful AI assistant experience. Currently, Gemini can access information in some apps and Siri can handle more complex queries, but both assistants are yet to fully realize their potential to "do things for you."
The advancements hint at a significant evolution in how AI assistants function on smartphones in 2025.
LLM 0.17 release enables multi-modal input, allowing users to send images, audio, and video files to Large Language Models like GPT-4o, Llama, and Gemini, with a Python API and cost-effective pricing.
Google Keep is getting a new AI-powered feature called 'Help me create a list,' leveraging Gemini, Google's advanced language model. This tool aims to assist users in creating various types of lists, enhancing Keep's note-taking capabilities.
Tutorial on enforcing JSON output with Llama.cpp or the Gemini’s API for structured data generation from LLMs.
The latest news about Gemini. Chat to start writing, planning, learning and more with Google AI.
A recent TechRadar poll found that Grammarly has emerged as a surprise hit among AI tools, with 584 monthly users. ChatGPT remains the most popular tool, while Microsoft Copilot and Google Gemini also showed strong results.
