How do you think having more tools will alter the landscape and how we use AI in the future?
AUTOMATION
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Scaling Remote AI Intervention: Feasibility and Hand-Tweaking Challenges
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I look forward to disclosure about how much remote intervention they are doing; and wonder whether what they do can be quickly and feasibly scaled to new locations; I hear there is an enormous amount of hand tweaking. I agree they are probably in the lead.
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ChatGPT Introduces Custom Bot Creation Feature
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A rumored new version of ChatGPT will allow you to create your own “bot”: → Name it
→ Share → Produce a simple welcome message
→ Upload related reference files
→ Define plugins and actions like web-browsing, DALL-E, code interpreter Tomorrow we will know for real -
LLMs Democratize Skills Through Chat Automation and Search
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Luis highlights the role of LLMs in fields from chat automation to search and classification and emphasizes the power of LLMs to democratize skills through platforms like ChatGPT, making complex skills accessible to everyone.
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True Autonomy in Vehicles: Current Limitations and Requirements
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as of today I am not sure there are any “autonomous vehicles” at scale (excluding monorails etc). If you need a checkin once an hour that’s “vast majority” but not truly autonomous. and if you can’t run without guaranteed cell service, that’s not autonomous, either.
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LLMs Applied to Industrial Chip Design and Optimization
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4/ LLMs for Chip Design – proposes using LLMs for industrial chip design by leveraging domain adaptation techniques; evaluates different applications for chip design such as assistant chatbot, electronic design automation, and bug summarization.
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L5 Autonomous Vehicles Testing Claims Disputed Online
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they aren’t even TESTING full L5 cars. only driver assist. read the OP.
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LLMOps Platforms Enable Flexible LLM Selection for Enterprises
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Companies will use LLMOps platforms such as Abacus to automate an end-to-end workflow. These platforms will offer a combination of open-source LLMs and closed-sourced APIs. Companies should be free to pick and choose an LLM based on cost, performance, and time to market. /15
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Smaller LLMs with RAG as cost-effective alternative to GPT-4
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Smaller and more efficient LLMs that have reasonably good reasoning capabilities can be fine-turned or complemented with RAG and incorporated into the workflow to automate these use cases. Using GPT-4 or some other very large LLM will become cost-prohibitive in these cases. /14
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Enterprise AI and LLM APIs: Two Classes of Business Use Cases
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Enterprise AI and LLM APIs The other big category of LLM use cases is businesses using these LLMs in their core products, services, and business processes. There are 2 classes of use cases in this space. /11