OpenAI Announces GPT-4 Turbo with 128K Context Window

OpenAI Announces GPT-4 Turbo with 128K Context Window

OpenAI Blog
Jan 15, 2024 00:00
OpenAI Team
1 views
aiartificial-intelligencegpt-4openailanguage-models

Summary

OpenAI releases GPT-4 Turbo with expanded context window, updated knowledge, and significantly reduced pricing.

OpenAI has unveiled GPT-4 Turbo, a more powerful and cost-effective version of their flagship language model. The new model features a 128,000 token context window, allowing it to process documents equivalent to more than 300 pages of text. This represents a significant improvement over the previous 8,000 and 32,000 token limits. GPT-4 Turbo also includes updated knowledge with information up to April 2024, improved instruction following, and reduced pricing that makes it 3x cheaper for input tokens and 2x cheaper for output tokens compared to GPT-4.

Related Articles

Zuck Wrong About the Metaverse. Can We Trust Him with Superintelligent AI?

Hacker News - AIJul 4

The article questions Mark Zuckerberg’s credibility in leading AI development, citing his failed bet on the metaverse as evidence of poor judgment. It raises concerns about whether Meta can be trusted to safely develop and manage superintelligent AI, highlighting the broader risks of concentrating AI power in the hands of a few tech giants.

Ethereum Reclaims $2,550: Key Price Levels to Watch Now

Analytics InsightJul 4

The article discusses Ethereum's price rebound to $2,550 and highlights significant technical levels for traders to monitor. While primarily focused on cryptocurrency markets, the analysis implies that price volatility and blockchain developments like Ethereum's can impact AI applications relying on decentralized platforms. This underscores the interconnectedness of AI and blockchain ecosystems, especially for projects leveraging smart contracts and decentralized data.

Bitcoin Price Flashes Mixed Signals After Third Failed $110K Breakout Attempt

Analytics InsightJul 4

The article discusses Bitcoin's volatile price movements after failing to break the $110,000 mark for the third time, highlighting mixed market signals and investor uncertainty. While the focus is primarily on cryptocurrency trends, the implications for the AI field include increased interest in AI-powered trading algorithms and analytics tools to navigate unpredictable crypto markets. This trend underscores the growing role of AI in financial decision-making and risk management.