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Dive into the hottest AI breakthroughs of the week—handpicked just for you!
Super Important AI News 🔥 🔥 🔥
🧲 Sakana AI Presents The AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition
🧿 Google Introduces AI Co-Scientist: A Multi-Agent AI System Built with Gemini 2.0 to Help Accelerate Scientific Breakthroughs
Featured AI Update 🛡️🛡️🛡️
xAI’s recent release of the Grok 3 Beta marks a thoughtful step forward in AI development. In their announcement, the company outlines how this new model builds on its predecessors with a refined approach to reasoning and problem-solving. Grok 3 is trained on the company’s Colossus supercluster using substantially more compute than previous iterations. This enhanced training has yielded improvements in areas such as mathematics, coding, and instruction-following, while also enabling the model to consider multiple solution paths before arriving at a final answer.
Technically, Grok 3’s architecture benefits from an expanded context window, now capable of handling up to one million tokens. This makes it better suited for processing lengthy documents and managing intricate instructions. Benchmark tests indicate notable improvements in various areas, including competition math challenges, advanced reasoning tasks, and code generation. For example, the model achieved a 93.3% accuracy rate on a recent mathematics competition when utilizing its highest level of test-time compute. These technical enhancements translate into practical benefits: clearer, more reliable responses that can support both academic and professional applications without unnecessary embellishment…..
Coding Tutorial 👩🏼💻👩🏼💻
Ideation processes often require time-consuming analysis and debate. What if we make two LLMs come up with ideas and then make them debate about those ideas? Sounds interesting right? This tutorial exactly shows how to create an AI-powered solution using two LLM agents that collaborate through structured conversation. For achieving this we will be using AutoGen for building the agent and ChatGPT as LLM for our agent
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.base import TaskResult
from autogen_agentchat.conditions import ExternalTermination, TextMentionTermination
from autogen_agentchat.teams import RoundRobinGroupChat
from autogen_agentchat.ui import Console
from autogen_core import CancellationToken
from autogen_ext.models.openai import OpenAIChatCompletionClient
from apikey import API_KEY....
