LLMs
- You have access to a proprietary asset (like data) that others don’t have easy access to. In our “write job postings” example, perhaps you have a corpus of thousands of job postings including some outcome scores (as to how well they did). You could use this data to create better job postings. Others don’t have ready access to this data. Note: The
Dharmesh Shah • How To Build a Defensible A.I. Startup
Protecting LLM products:
(1) Is hard to bootstrap. This already hints to existing customers or you need to get a bunch of your customers to co-develop (insurance model → companies pooling their data to solve a problem they all have). This runs into a bunch of issues: competitive drive of the companies, data privacy and security.
(2) Reserved for existing companies. This is the co-pilot model.
(3) This might be the most sustainable one, but it is also the hardest one. I have not seen anything in that direction yet besides OpenAI.
.png?table=block&id=e2eaaa6a-a9a8-4f09-a88e-888ba717d58d&spaceId=996f2b3b-deaa-4214-aedb-cbc914a1833e&width=1200&userId=&cache=v2)
I’ve been giving talks and speaking with engineers and non-technical audiences about interpretability since 2022, and I still struggle to explain exactly what a “feature” is. I often use words like “concept” or “style”, or establish metaphors to debugging programs or making fMRI scans of brains. Both metaphors help people outside of the subfield... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
.png?table=block&id=b4e186f9-aa38-4fce-b32e-8fdd8fc746ce&spaceId=996f2b3b-deaa-4214-aedb-cbc914a1833e&width=1260&userId=&cache=v2)
Since we launched ChatGPT Enterprise a few months ago, early customers have expressed the desire for even more customization that aligns with their business. GPTs answer this call by allowing you to create versions of ChatGPT for specific use cases, departments, or proprietary datasets. Early customers like Amgen, Bain, and Square are already... See more
Introducing GPTs
This could be a business opportunity: building GPTs for companies.
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]
API wrappers, general-purpose AI tools and third-party AI tools for big platforms.
API wrappers have a weak moat.
General AI tools try to be the jack-of-all-trades.
Big platforms will eat up small apps by adding similar AI features themselves.
API wrappers have a weak moat.
General AI tools try to be the jack-of-all-trades.
Big platforms will eat up small apps by adding similar AI features themselves.
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
- Right now, GPTs are the easiest way of sharing structured prompts, which are programs, written in plain English (or another language), that can get the AI to do useful things. I discussed creating structured prompts last week, and all the same techniques apply, but the GPT system makes structured prompts more powerful and much easier to create,
Ethan Mollick • Almost an Agent: What GPTs can do
Pipeline RobustQA Avg. score Avg. response time (secs) Azure Cognitive Search Retriever + GPT4 + Ada 72.36 >1.0s Canopy (Pinecone) 59.61 >1.0s Langchain + Pinecone + OpenAI 61.42 <0.8s Langchain + Pinecone + Cohere 69.02 <0.6s LlamaIndex + Weaviate Vector Store - Hybrid Search 75.89 <1.0s RAG Google Cloud VertexAI-Search + Bison... See more