IMO Weekly Highlights - 07012024
IMO picked up a few pieces of notable news about AI and tech companies for the past week. This week, Google opens up Gemini 1.5 Flash, Pro with 2M tokens to the public.??
1)??? Google opens up Gemini 1.5 Flash, Pro with 2M tokens to the public
Google Cloud is making two variations of its flagship AI model—Gemini 1.5 Flash and Pro—publicly accessible. The former is a small multimodal model with a 1 million context window that tackles narrow high-frequency tasks. It was?first introduced in May?at Google I/O. The latter, the most powerful version of Google’s LLM,?debuted in February?before being notably upgraded to contain a 2 million context window. That version is now open to all developers.
Time?Magazine, the iconic red-bordered former news weekly founded?101-years ago?by?print magnate Henry Luce?(who also founded?Fortune?and?Life), appears to be diving headfirst into the generative AI age with partnerships with major?AI startups OpenAI?and?ElevenLabs?announced this week.
As it seeks to win over enterprise customers, Google is trying to ensure that its AI platform minimizes hallucinations. It’s a big deal for organizations, especially those whose executives are already wary about the technology. Google is doubling down on model grounding to reassure them, turning to reputable third-party services Moody’s, MSCI, Thomson Reuters and Zoominfo. These four will be available within Vertex AI starting next quarter. They will offer developers qualified data to backstop their model outputs against to ensure responses are factually accurate.
领英推荐
Meta?has unveiled the?Meta Large Language Model (LLM) Compiler, a suite of robust, open-source models designed to optimize code and revolutionize compiler design. This innovation has the potential to transform the way developers approach code optimization, making it faster, more efficient, and cost-effective.
The researchers behind LLM Compiler have addressed a significant gap in applying large language models to code and compiler optimization, which has been underexplored. By training the model on a massive corpus of 546 billion tokens of?LLVM-IR?and?assembly code, they have enabled it to comprehend compiler intermediate representations, assembly language, and optimization techniques.
In the race to adopt AI and gain a competitive edge, enterprises are making substantial investments. They are pouring millions of dollars (sometimes even billions) into?high-performance models?and using them to build applications capable of driving efficiencies across different internal and external functions. The work is accelerating, but many teams are also beginning to note that their investments are not paying off — with the applications not delivering the expected results and ROI.
The problem at the core is data. Most companies are struggling to put their data affairs in order and unify all the proprietary information they have. Enter?CData, a company addressing this ‘integration’ dilemma with a range of data access and connectivity solutions. This week, the startup announced it has bagged $350 million in growth funding from Warburg Pincus and Accel to further accelerate its work, allowing engineers and business users alike to access and integrate data from any source or system.?
Generative AI may be dominating the headlines, but Boston-based Creatio is making news of its own on the strength of its “no code” customer relationship management (CRM) platform and app-building tools.?
This week, the 10-year-old software company?announced it has raised a significant $200 million at a valuation of $1.2 billion?in a round led by Sapphire Ventures with contributions from StepStone Group, Volition Capital, and Horizon Capital.