#llms

#llms

Perplexity AI combines AI with search engine functionalities to provide succinct and accessible responses, standing out in the competitive AI landscape. [ more ]

Reinforcement learning helps enhance AI models by incorporating human style and ethics outside traditional methods, like next-token prediction. [ more ]

The launch of new LLMs for Nordic languages called Viking by Silo AI enhances Europe's linguistic diversity in the AI era.

Viking aims to bridge gaps in digital communication, cater to low-resource Nordic languages, and protect cultural heritage by offering unparalleled proficiency. [ more ]

GPT Pilot automates coding tasks, Sourcery for PR reviews, Seaborn for data visualization. [ more ]

Efficient adversarial attack phrases on LLMs developed by UMD computer scientists.

BEAST technique for fast adversarial attacks requires Nvidia RTX A6000 GPU and minimal processing time. [ more ]

GenAI technology is enabling companies to automate processes that were previously impossible

Using large language models (LLMs) can replace conventional OCR-based scanning for document extraction [ more ]

LLMs can benefit companies by generating text, translating languages, and answering questions.

There are platforms and tools available to help companies unlock the potential of their LLMs. [ more ]

Generative AI powered by LLMs has gained significant traction and attracted $25 billion in funding in 2023.

There is a growing AI ecosystem within Web3, but there is confusion about the protocols and their integration. [ more ]

Conversations are essential in work, and LLMs can unlock knowledge and enhance productivity.

Prompt engineering is crucial to ensure structure and grounding in conversations. [ more ]

The Large Model Systems Organization (LMSys) has created Chatbot Arena, a platform for comparing large language models (LLMs) based on blind pairwise ratings.

Users can enter prompts and compare side-by-side responses from two randomly selected models. [ more ]

JetBrains releases new versions of its IDEs with integrated AI Assistant.

AI Assistant stands out with its deep integration and support for multiple LLMs. [ more ]

Observability is crucial for analyzing the inputs and outputs of LLMs and troubleshooting issues in production.

LLMs like GPT-4 can be limited by the information they were trained on, but frameworks like LangChain and LlamaIndex enable integration with external data sources. [ more ]

Microsoft and Meta discussed the state of AI and LLMs during a parliamentary meeting and showed little concern for IP protection.

Both companies argued for UK laws to be changed to allow their AI software and LLMs to freely use data.

Meta highlighted the importance of detecting and correcting bias in machine learning models. [ more ]