We are transitioning from a “play-to-earn” model to a more exciting era: games that are rich in genuine fun and infinitely scalable. Author: Sid, IOSG Ventures Original Title: IOSG Weekly Brief | The Integration of Gaming, AI Agents, and Cryptocurrency #260 Cover: Photo by Lorenzo Herrera on Unsplash This article is for educational exchange only … Read more
You may be familiar with reinforcement learning, and you may also know about RNNs. What sparks can these two relatively complex concepts in the world of machine learning create together? Let me share a few thoughts. Before discussing RNNs, let’s first talk about reinforcement learning. Reinforcement learning is gaining increasing attention; its importance can be … Read more
Finally, Kimi has been updated! I’ve been looking forward to this. It is said to be in grayscale: but my interface still looks like this. Let’s wait a bit and try later~ Let’s read the paper together and see what technical details have changed. Address: https://github.com/MoonshotAI/Kimi-k1.5/blob/main/Kimi_k1.5.pdf The pre-training methods of large language models (LLMs) have … Read more
1. Title: KIMI K1.5: SCALING REINFORCEMENT LEARNING WITH LLMS Link: https://github.com/MoonshotAI/kimi-k1.5 2. Authors and Key Points: 1- Authors The paper was published by: Kimi Team of the Dark Side of the Moon 2- Key Points 1. Core Content • Background and Motivation: • Traditional language model pre-training methods (based on next-word prediction) perform well in … Read more
Yesterday, everyone was shouting about the New Year! Kimi has released a rare technical report, let’s take a look at the technical details. The technical report is here: https://github.com/MoonshotAI/Kimi-k1.5 First, as always, Kimi emphasizes long context. So the question arises: if we provide the model with a longer ‘thinking space’, can it naturally learn to … Read more
Machine Heart reported Machine Heart Editorial Department Can neural networks complete various tasks without learning weights? Are the image features learned by CNN just what we think they are? Are neural networks merely combinations of functions with no other meaning? From this paper, the answers to these questions seem to be affirmative. Yesterday, a paper … Read more
Excerpt from andreykurenkov Author: Andrey Kurenkov Translated by Machine Heart Contributors: salmoner, Electronic Sheep, Sister Niu Niu, Ben, Slightly Chubby This is part three of the History of Neural Networks and Deep Learning (see Part One, Part Two). In this section, we will continue to explore the rapid development of research in the 1990s and … Read more
Hello everyone, I am Liu Cong from NLP. Just tonight, Kimi released the latest model K1.5, first, let’s take a look at the leaderboard results, it’s simply explosive. In long reasoning, K1.5 far surpasses OpenAI’s O1 model in mathematical ability, whether in pure text or visual multimodal; it is on par with Codeforces, slightly lagging … Read more
Recently, it feels like the New Year has come early. Just last night, DeepSeek and Kimi both released their version 1.0, and Kimi was the first to publish its technical report, which is quite interesting… When it comes to Kimi, everyone has the impression that it has a technological first-mover advantage, being the first to … Read more
1. CrewAI: Open Source Autonomous Intelligent Agent Orchestration Platform CrewAI is an autonomous AI agent orchestration platform designed to enhance collaborative intelligence and enable these agents to work effectively together on complex tasks. It provides a structure for complex multi-agent interactions and is designed for various applications, including intelligent assistant platforms and automated customer service. … Read more