Contextual AI raises $20 million in seed funding to develop next generation large language models for enterprises. Their new text-generating AI technology, based on retrieval augmented generation, aims to improve reliability, compliance and governance issues in LLMs. Their focus on accuracy, reliability and traceability targets the enterprise market with a much more integrated solution. RAG technology allows LLMs to develop context-aware responses for specific business applications, with the majority of funding dedicated to product development.
OpenAI's CEO, Sam Altman, applauds India's national tech/assets and suggests integrating it with other services. He proposes a publicly-funded AI effort and building large language models to pursue new research directions. Altman will also meet with Prime Minister Narendra Modi to discuss the topic and its impact on new job opportunities.
Despite the growing use of large language models like ChatGPT within the legal profession, a recent survey found that only 9% of law students currently use generative AI in their studies. In her article, Senior Director of Product Management for LexisNexis North America, Serena Wellen, explores why law students are hesitant to use AI and suggests ways that law schools can introduce the technology into the curriculum. As AI continues to shape the legal field, addressing these concerns will be crucial for future success.
Typeface, a San Francisco-based company, has partnered with Google Cloud to bring customized generative AI technology to enterprises looking to generate marketing and branding content. By training large language models (LLMs) for specific brands or use cases, Typeface's platform delivers customized results for both text and images. The Google Cloud partnership will integrate the latest LLMs from Google into Typeface, allowing for deeper, more relevant adjustments. This partnership will allow organizations to directly integrate Typeface with Google Workspace applications. The next stage of generative AI, Typeface's Affinity AI, is the solution for companies seeking unique, deep customization.
LlamaIndex is an open-source project created by former Uber research scientist, Jerry Liu, which aims to unleash the potential of large language models such as GPT-3 and GPT-4. The unique framework enables developers to integrate personal or organizational data with LLMs, which can assist with question answering, summarization, and insight extraction. Since launching, LlamaIndex has already obtained 200,000 monthly downloads and raised $8.3m in seed funding last month. An enterprise version is scheduled to launch later in the year.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?