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The future of search is being reinvented with generative AI

VC Cafe

In December 2022, just a month after the introduction of ChatGPT, Google understood the risk as well and launched a ‘code red’ – a company-wide emergency effort to tackle generative AI and come back with an adequate response to ChatGPT and Microsoft Bing.

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ChatGPT for Enterprise is Ready. But are Enterprises ready to adopt Generative AI?

VC Cafe

OpenAI for enterprise key features: Enhanced privacy, SOC2 No usage caps performs up to two times faster 32k context in Enterprise, allowing users to process 4x longer inputs or files Samsung Electronics, Google and others have restricted employees from using generative AI bots for fear that confidential information will be leaked.

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The Booming Voice AI Landscape: A VC Perspective

VC Cafe

But substantial investments are also being deployed into emerging startups, particularly into vertical applications. This trend is evident in the success of companies like DeepL (translation), Speak (language learning), and Retell AI (call centres). Another example is Cartesia AI. Vertical Applications Taking Off.

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Generative AI: Incumbents vs. Upstarts

VC Cafe

There’s an interesting thing happening in the generative AI world. More and more, established companies are leaning into generative AI by either adding generative AI features to their existing suite of tools or partnering with AI companies (mostly OpenAI or the open source HuggingFace) to launch entirely new products.

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The Rapid Evolution of Generative AI Video footage

VC Cafe

2023 was the year of generative AI, but more specifically, the year we witnessed the power and potential of LLMs, large language models. Both startups and large tech companies leaned in hard, incorporating automation tools and generative AI applications across verticals. Visual generative AI made strides as well.

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Generative AI mega rounds and opportunities for Israeli startups

VC Cafe

Most of the companies that raised these mega rounds are relatively early stage in terms of product and monetisation (if at all) and about half of the companies that raised large sums, are developing LLMs, which generally requires deep pockets to cover 1) cloud costs, 2) expensive deep learning engineers 3) get the data to train the models.

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The Emerging Israeli AI Landscape in 2024

VC Cafe

A new report by F2 Venture Capital, Google Cloud and Deloitte Israel shines a spotlight onto the buzzing emerging AI landscape in Israel so I couldn’t resist covering it. On a high level: The Israeli AI startup ecosystem is booming, with over 2,150 active AI companies, representing ~30% of the local tech sector.

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