The hottest GPT Substack posts right now

The Exponential Industry GPT is tailored to the business of manufacturing technology with curated knowledge of manufacturing terminology, business understanding, and technology tradeoffs.
Building a GPT involves providing a specific context, persona, and conversational tone, with additional instructions and knowledge to further customize it.
The Exponential Industry GPT showcases the difference in usability by providing tailored responses related to manufacturing technology, offering specific strategies and insights.

In certain scenarios, companies use 2 types of hybrid search: weighted scoring and filter and rerank, especially prevalent in e-commerce.
GPT can be leveraged for query understanding to parse out complex queries and populate Elasticsearch/Solr with detected entities.
Although using GPT-4 for this purpose may be costly and slow, training an open-source model like MPT-7B can be a more viable option.

BERT focuses on the encoder for deep understanding of input text.
GPT focuses on the decoder for generating new text based on context.
The contrast between BERT and GPT represents a balance between understanding and creation in NLP.

PlacesGPT brings point of interest data into ChatGPT.
Using Google's Places Text Search API helps with ambiguous address queries.
The Google Places API usage for PlacesGPT will be limited due to cost until the GPT marketplace launches.

GeocodeGPT enables ChatGPT to geocode addresses accurately.
Custom GPTs with external actions to reliable data sources are useful now.
Excitement for the launch of the Custom GPT marketplace to see innovative developments.

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