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OpenAI Releases GPT-5.3-Codex: A Leap in Programming Efficiency, Marking the Beginning of the AI Peer Practice Era

Sam Altman, CEO of OpenAI, announced the release of the programming large model GPT-5.3-Codex, which has made breakthroughs in technical indicators and application, pushing AI-assisted programming into a new stage. It achieved 57% on the SWE-Bench Pro evaluation and performed well on TerminalBench2.0 and OSWorld evaluations.

17.7k 20 hours ago

AI Daily: Qwen Fully Integrated into Alibaba Ecosystem; Baidu Wenxin ERNIE-5.0-0110 Officially Released; Robot Leasing Platform Qingtianzhu Completes Funding

Welcome to the [AI Daily] section! This is your guide to exploring the world of artificial intelligence every day. Every day, we present you with the latest content in the AI field, focusing on developers, helping you understand technical trends and innovative AI product applications. Discover new AI products: https://app.aibase.com/zh1. Baidu's latest Wenxin large model, ERNIE-5.0-0110, has been officially released, ranking second in mathematical ability worldwide. The model has shown excellent performance in various authoritative evaluations.

29k 1 hours ago

AI Daily: Qwen Fully Integrated into Alibaba Ecosystem; Baidu Wenxin ERNIE-5.0-0110 Officially Released; Robot Leasing Platform Qingtianzhu Completes Funding

Xiaohongshu Launches the Next-Generation Dialogue Synthesis Model FireRedTTS-2 to Aid in AI Podcast Production

Xiaohongshu's FireRedTTS-2, a new dialogue synthesis model, enhances flexibility, pronunciation accuracy, speaker switching, and prosody. It outperforms in evaluations, offering superior multi-speaker solutions. Technical report available on arXiv.....

13k 10 hours ago

Xiaohongshu Launches the Next-Generation Dialogue Synthesis Model FireRedTTS-2 to Aid in AI Podcast Production

Top 10 Mistakes in AI Project Development

Training artificial intelligence (AI) models is a complex process that is prone to some common mistakes. This article lists the 10 most common mistakes in AI project development. First of all, the quality of data preprocessing is important, as low-quality data can lead to model errors. Secondly, choosing the right development model is also crucial, and the applicability and evaluation accuracy of the model need to be considered. In addition, the consistency between model alignment and business metrics is also important. Only when the technical metrics are consistent with the business metrics can the expected business results be achieved. Data privacy protection is also a sensitive issue, and data protection policies need to be formulated and security audits need to be conducted. Insufficient scalability can lead to system overload, so an expansion plan needs to be planned in advance. Overfitting can occur if the model is trained too much, and the model parameters need to be updated to adapt to the changing data distribution. Training the model with non-real data can lead to reduced performance in practical applications. Algorithm bias is a common problem, and guidelines and rules need to be formulated to resist bias. The interpretability of the model is also important, and development documentation needs to be maintained to help users understand the decision-making process of the model. Finally, continuous monitoring of the performance and accuracy of the model is the key, and the model needs to be adjusted and updated in a timely manner. By avoiding these mistakes, safe, efficient, and ethical AI solutions can be developed.

10k 8 hours ago

Top 10 Mistakes in AI Project Development

AI Products

thisorthis.ai

AI Model Comparison Platform

AI Information Platform

10.5k

Models

o3-mini

Openai

$7.7

Input tokens/M

$30.8

Output tokens/M

200

Context Length

Doubao-1.5-pro-32k

Bytedance

$0.8

Input tokens/M

Output tokens/M

128

Context Length

Hunyuan-Large-Vision

Tencent

Input tokens/M

Output tokens/M

Context Length

QianfanHuijin-Reason-8B

Baidu

Input tokens/M

Output tokens/M

Context Length

Hunyuan-Functioncall

Tencent

Input tokens/M

Output tokens/M

Context Length

Hunyuan-TurboS-Longtext-128k-20250325

Tencent

$1.5

Input tokens/M

Output tokens/M

128

Context Length

Step-Video-T2V-Turbo

Stepfun

Input tokens/M

Output tokens/M

Context Length

Hunyuan-Standard

Tencent

$0.8

Input tokens/M

Output tokens/M

Context Length

Baichuan-M2-32B

Baichuan

Input tokens/M

Output tokens/M

Context Length

ERNIE X1.1 Preview

Baidu

Input tokens/M

Output tokens/M

Context Length

Hunyuan-Lite

Tencent

Input tokens/M

Output tokens/M

250

Context Length

Text-to-Image Lite Version

Tencent

Input tokens/M

Output tokens/M

Context Length

GLM-4-Plus

Chatglm

$100

Input tokens/M

$100

Output tokens/M

128

Context Length

CogView-3

Chatglm

Input tokens/M

Output tokens/M

Context Length

Yi-34B-200K

01-ai

Input tokens/M

Output tokens/M

200

Context Length

Yi-34B

01-ai

Input tokens/M

Output tokens/M

Context Length

MCP

Llm Experimentations

This project tests the capabilities of LLM in information retrieval, API integration (such as IGN's APICARTO and GéoPlateforme services), and code generation through ChatGPT, including functions such as geocoding and postal code query, and explores the application of AI in technical evaluation and development assistance.

typescript

10.4k

2.0points

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