LLM (17)

Breakthrough Reasoning Framework Unlocks New Era for AI

Researchers from Google DeepMind and University of Southern California have developed a new framework called "SELF-DISCOVER" that significantly improves the reasoning abilities of large language models like GPT-4 and PaLM 2. It allows the models to autonomously discover reasoning structures to tackle complex reasoning tasks, leading to substantial performance gains.

iFlytek Races to Match GPT-4 Turbo by 2024

iFlytek aims to significantly upgrade its Spark large language model to match the performance of OpenAI's GPT-4 Turbo model by first half of 2024. The goal is to establish leadership in key areas like language comprehension, mathematical abilities, coding while catching up in complex reasoning. READ ARTICLE

The Rise of the Chief AI Officer

Businesses are urgently hiring executives and roles related to AI and language models due to the rise of AI technologies like ChatGPT, signaling a shift towards a more tech-driven economy. Since the launch of ChatGPT in 2022, demand for AI executives and roles has surged, with compensation reaching over $1…

Open-Source LLMs Gain Enterprise Traction

Open-source large language models (LLMs) are seeing initial enterprise deployments and adoption, but closed-source models currently have more publicly known use cases. However, open-source advocates argue it's only a matter of time before open-source catches up as more models are released. OpenAI's ChatGPT and other closed LLMs were released before…

Can LLMs Steer Autonomous Driving Into the Mainstream?

Large language models like ChatGPT show promise for improving autonomous driving systems by better handling complex edge cases and reasoning about scenarios, but challenges around latency, real-time constraints, and potential inaccuracies need to be addressed. READ MORE

Token-free LMs enable faster and fairer NLP

Token-free language models that operate on raw bytes instead of subword tokens can remove tokenization bias, improve computational efficiency, and enable faster text generation.

LLMs, Agents, and Data Science's Future

Recent advances in AI like large language models, prompt engineering techniques, AI agents, etc. provide new opportunities as well as challenges for the development of data science, and data practitioners should adopt a balanced perspective when assessing and utilizing these new technologies. READ MORE

LLM Dev Frameworks

The main takeaway is that the best LLMs framework to use depends on your specific project goals, resources, and constraints - building your own gives full control but requires more time and technical skill, OpenAI provides quick and easy access but less customization, Langchain balances customization and ease of use,…

China's 2023 AI Pursuit Shifts from LLM Rollouts to Adoption

Key Takeaway The key takeaway is that in 2023, China's pursuit of AI shifted from rapidly rolling out large language models (LLMs) to focusing more on finding commercialization opportunities and customers to adopt the technology. READ MORE