Ideas for practical AI
Product updates, practical guides, and clear analysis for teams putting business AI to work.
121 articles
Page 8 of 21
Vector databases, also referred to as vectorized databases or vector stores, constitute a specialized database category crafted for the efficient storage and retrieval of high-dimensional vectors. In the database context, a vector denotes an organized series of numerical values that signifies a position within a multi-dimensional space. Each component of the vector corresponds to a… Read more »
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Google has recently unveiled its groundbreaking AI model, Gemini, heralded as the most substantial and capable launch to date. Demis Hassabis, the Co-Founder and CEO of Google DeepMind, shared insights about Gemini, emphasizing its multimodal foundation and collaborative development across Google teams and research colleagues. Hassabis notes, “It was built from the ground up to… Read more »
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Over half of business leaders, around 52%, are already making good use of AI copywriting tools to boost their content marketing game. What’s particularly noteworthy is that the AI trend isn’t limited to a specific business type, as both B2B and B2C sectors recognize the potential, with 62% of B2B and 38% of B2C businesses… Read more »
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Social media teams tasked with capturing audience attention can craft social media AI prompts to streamline and enhance their creative process. 3. Use examples to illustrate your desired outcome.This will help AI to learn your style and preferences.By mastering AI prompts, you can harness the power of technology to enhance your productivity and expand your… Read more »
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AI in the Social Media Market is expected to grow at a CAGR of 28.04% to reach $5.66 billion by 2028. AI brings super cool tools that make it easier to be creative and simplify making content. When you come up with a great AI prompt, you’re giving the AI a roadmap to create content… Read more »
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Claude 2.1, developed by Anthropic, marks a significant leap in large language model capabilities. With a groundbreaking 200,000 token context window, Claude 2.1 can now process documents as long as 133,000 words or approximately 533 pages. This advancement also places Claude 2.1 ahead of OpenAI’s GPT-4 Turbo in terms of document reading capacity, making it… Read more »
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