LLMs
We identified 30 types of tasks that UX professionals used generative AI tools for in their work. We grouped these tasks under four roles: content editor, research assistant, ideation partner, or design assistant.
- Content editor : Generating and editing text, from microcopy to social media posts, based on specifications or copy given by UX
Mingjin Zhang • AI as a UX Assistant
However, a key risk with several of these startups is the potential lack of a long-term moat. It is difficult to read too much into it given the stage of these startups and the limited public information available but it’s not difficult to poke holes at their long term defensibility. For example:
- If a startup is built on the premise of taking base
Viggy Balagopalakrishnan • AI Startup Trends: Insights from Y Combinator’s Latest Batch
no reason to build any kind of software product these days that doesn't have a significant UX/domain knowledge component
Discord - A New Way to Chat with Friends & Communities
Take a look at our official page for user documentation and examples: langtest.org
Key Features
Key Features
- Generate and execute more than 50 distinct types of tests only with 1 line of code
- Test all aspects of model quality: robustness, bias, representation, fairness and accuracy.
- Automatically augment training data based on test results (for select models)
- Sup
GitHub - BrunoScaglione/langtest: Deliver safe & effective language models
The AI engineering framework
Marvin is a lightweight AI engineering framework for building natural language interfaces that are reliable, scalable, and easy to trust.
Sometimes the most challenging part of working with generative AI is remembering that it's not magic; it's software. It's new, it's nondeterministic, and it's incredibly powerful - but... See more
Marvin is a lightweight AI engineering framework for building natural language interfaces that are reliable, scalable, and easy to trust.
Sometimes the most challenging part of working with generative AI is remembering that it's not magic; it's software. It's new, it's nondeterministic, and it's incredibly powerful - but... See more
PrefectHQ • GitHub - PrefectHQ/marvin: ✨ Build AI interfaces that spark joy
- Mistral AI shows a promising alternative to the GPT 3.5 model using prompt engineering .
- Mistral AI can be used where it requires high volume and faster processing time with very little cost .
- Mistral AI can be used as pre-filtering to GPT 4 to reduce cost i.e. can be used to filter down search results .
Mistral 7B is 187x cheaper compared to GPT-4
Menlo Ventures released a report on ‘The State of Generative AI in the Enterprise’ and found that adoption is trailing the hype. Details below:
Generative AI still represents less than 1% of cloud spend by surveyed enterprises, including just an 8% increase in 2023.
Safety and ROI continue to be prime concerns, and the tangible advantages of being... See more
Generative AI still represents less than 1% of cloud spend by surveyed enterprises, including just an 8% increase in 2023.
Safety and ROI continue to be prime concerns, and the tangible advantages of being... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
The multiple cantilevered AI overhangs:
Compute overhang. We have much more compute than we are using. Scale can go much further.
Idea overhang. There are many obvious research ideas and combinations of ideas that haven’t been tried in earnest yet.
Capability overhang. Even if we stopped all research now, it would take ten years to digest the new... See more
Compute overhang. We have much more compute than we are using. Scale can go much further.
Idea overhang. There are many obvious research ideas and combinations of ideas that haven’t been tried in earnest yet.
Capability overhang. Even if we stopped all research now, it would take ten years to digest the new... See more
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