Actually Useful AI
Welcome! ๐ค
Our community focuses on programming-oriented, hype-free discussion of Artificial Intelligence (AI) topics. We aim to curate content that truly contributes to the understanding and practical application of AI, making it, as the name suggests, "actually useful" for developers and enthusiasts alike.
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We highly value participation in our community. Whether it's asking questions, sharing insights, or sparking new discussions, your engagement helps us all grow.
What can I post? ๐
In general, anything related to AI is acceptable. However, we encourage you to strive for high-quality content.
What is not allowed? ๐ซ
- ๐ Sensationalism: "How I made $1000 in 30 minutes using ChatGPT - the answer will surprise you!"
- โป๏ธ Recycled Content: "Ultimate ChatGPT Prompting Guide" that is the 10,000th variation on "As a (role), explain (thing) in (style)"
- ๐ฎ Blogspam: Anything the mods consider crypto/AI bro success porn sigma grindset blogspam
General Rules ๐
Members are expected to engage in on-topic discussions, and exhibit mature, respectful behavior. Those who fail to uphold these standards may find their posts or comments removed, with repeat offenders potentially facing a permanent ban.
While we appreciate focus, a little humor and off-topic banter, when tasteful and relevant, can also add flavor to our discussions.
Related Communities ๐
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- !artificial_intel@lemmy.ml
- !singularity@lemmy.fmhy.ml
- !ai@kbin.social
- !ArtificialIntelligence@kbin.social
- !aihorde@lemmy.dbzer0.com
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TL;DR: (AI-generated ๐ค)
Kagi Search has introduced three AI features into their product offering. They discuss the role of AI in search and the challenges and their AI integration philosophy. Kagi Search started as Kagi.ai in 2018 and has a long history of using AI. They have made advancements in question-answering and summarization, and have contributed to the academic community. They believe that generative AI can unlock a new category of previously impossible searches. They acknowledge the limitations of current AI technologies, such as the risk of generating incorrect information and lacking understanding of the physical world. Kagi Search has a philosophy of using AI in a closed context relevant to search, enhancing the search experience, and supporting users. They mention the importance of users being able to regain control when the tool fails and the tool indicating low confidence in its answers. They have created a dataset of challenging questions to test the performance of different AI engines. The top-performing engines had an accuracy rate of approximately 75% on these questions. They also found that access to the internet provided only a marginal advantage to the engines.
NOTE: This summary may not be accurate. The text was longer than my maximum input length, so I had to truncate it.
Under the Hood
gpt-3.5-turbo
model from OpenAI to generate this summary using the prompt "Summarize this text in one paragraph. Include all important points.
"How to Use AutoTLDR