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- 🤖 Bing's Enhanced Search Functionality
🤖 Bing's Enhanced Search Functionality
PLUS: Resolving Product Challenges in GAI
Hyrise AI
December 06, 2023
Welcome, AI Enthusiasts.
Microsoft's Bing introduces 'Deep Search,' a feature powered by OpenAI's GPT-4, enhancing search by providing in-depth, detailed responses to complex queries.
Large language models (LLMs) have become commonplace, making it relatively simple to create an AI assistant using models like GPT-4 and APIs.
In today’s issue:
🤖 Bing's Enhanced Search Functionality Delivers In-Depth Responses to Complex Queries
🦾 Resolving Product Challenges in Generative AI Applications Through Analytics
🛠️ 3 New AI tools
💻 Custom prompts ChatGPT and DALL-E 3
🤖 3 Quick AI updates
Read time: 4 minutes.
LATEST HIGHLIGHTS
Image source: Unsplash
To recap: Microsoft's Bing introduces 'Deep Search,' a feature powered by OpenAI's GPT-4, enhancing search by providing in-depth, detailed responses to complex queries. Deep Search builds on Bing's existing functions, expanding queries into comprehensive descriptions, retrieving specific and informative results that might not appear in standard searches. However, this optional feature takes longer to process and is intended for users seeking more detailed information, allowing others to continue receiving instant search results as usual.
The details:
Deep Search Functionality: Bing's new 'Deep Search' feature leverages OpenAI's GPT-4 to delve deeper into search queries, expanding them into more detailed descriptions to generate comprehensive, specific search results.
Enhanced Query Expansion: By transforming user queries into detailed descriptions, Deep Search aims to capture various aspects of the query, providing specific and informative results that might not surface in typical searches.
Ranking and Results: Deep Search ranks results based on relevance, detail, credibility, recency, and popularity, considering how well pages match the expanded query, aiming to offer more tailored and informative outcomes. However, this feature might take up to 30 seconds to complete, making it optional for users seeking deeper insights.
Here is the key takeaway: Bing's new 'Deep Search' powered by GPT-4 aims to offer more comprehensive and tailored search results by expanding queries into detailed descriptions. This enhancement allows for deeper exploration and provides specific information that might not surface in regular searches, making it optional for users seeking more detailed insights and information.
Image source: Unsplash
In Summary: Large language models (LLMs) have become commonplace, making it relatively simple to create an AI assistant using models like GPT-4 and APIs. However, merely relying on technology doesn't ensure an app's success as competition increases and access to similar models grows. The true differentiator lies in addressing genuine user needs through innovative applications and design. TikTok's success, for instance, doesn't solely stem from its algorithm but from its unique packaging—offering an endless stream of content and intuitive creator tools, emphasizing the importance of a holistic user experience beyond just algorithmic capabilities.
Key points:
LLMs are Ubiquitous: Large language models (LLMs) like GPT-4 have become commonplace, allowing easy creation of AI assistants by integrating these models with vector databases and APIs.
Technology Alone isn't Enough: While technology is crucial, it's not a sustainable advantage as access to similar models is widespread. Standing out demands addressing real user needs through application-layer innovation.
Differentiation Through Product and Design: Successful products focus on genuine user problems and innovative design rather than just relying on advanced technology. TikTok's success illustrates this by emphasizing an engaging user experience beyond its powerful algorithm.
TikTok's Unique Packaging: TikTok's achievement isn't solely due to its algorithm but also its distinctive packaging—a seamless, endless stream of content with intuitive creator tools. This design choice enhanced user engagement and set it apart from similar platforms.
Our thoughts: The piece underscores that while advanced tech like large language models is vital, the true competitive edge lies in innovative product design and addressing real user needs, using TikTok as a prime example of how packaging algorithms within intuitive interfaces and comprehensive ecosystems is pivotal for success in today's tech landscape.
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AI DOJO
ChatGPT
Tech Ethical Debate:
Prompt: "Stage a debate between two experts—one advocating for AI regulation and the other for unbounded AI development. Delve into the ethical implications and societal impacts."
DALL-E 3
Abstract Art Expressions:
Prompt: "Create abstract art pieces inspired by emotions—depict joy, melancholy, fear, and serenity using vibrant colors and striking compositions."
QUICK BYTES
Visual Electric, backed by Sequoia Capital, released an AI-based image generator for designers, aiming to cater to creative workflows. Founded in 2022, the team consists of industry experts from Universe, Facebook, Apple, and Microsoft. The CEO noted existing generative AI tools lacked a designer-centric approach and emphasized Visual Electric's spatially flexible canvas for creative freedom. Despite competing with ChatGPT, they launched a beta, catering to professionals from various companies and design studios.
The platform involves prompts, color palettes, mood settings, and iterative image generation. Free to use with limitations, premium plans offer faster generation, unlimited creations, and commercial usage rights. Notable features include touch modification, background removal, and upscaling. They employ Stable Diffusion and GPT models, aiming to introduce a mobile app in the future. Although various tech giants have released similar tools, Visual Electric aims to stand out by focusing on specific user groups, intending to distinguish itself amid emerging competitors.
Kyron Learning, a learning startup, raised $14.6 million in Series A funding and an $850,000 grant from the Bill & Melinda Gates Foundation. The funds aim to enhance the platform’s AI capabilities and expand its K-12 math curriculum, offering organizations and learning solution providers access to Kyron’s conversational AI technology. Founded in 2022 by Rajen Sheth and Enis Konuk, Kyron uses interactive video lessons driven by conversational AI, understanding student responses to provide appropriate feedback. The platform is open to various educational institutions, focusing on improving math education based on recent national assessments. The funding aims to extend the curriculum to additional grades and subjects, leveraging AI to create an inclusive and impactful learning community.
Meta and IBM join forces to establish the AI Alliance, aiming to bolster open innovation in AI. The new body, despite the confusing similarity to the Partnership on AI, plans to collaborate with existing initiatives and address AI challenges. Meta's push for an open-source AI approach clashes with other tech giants' concerns about the risks. IBM may seek visibility for its AI platform amid fierce competition. The Alliance's initial members span academia, technology, and healthcare, yet without prominent industry players. Its success remains uncertain, tangled in conflicting interests and industry skepticism.
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