sharepower123

4 ms·

1. 1.▲
   by sharepower123 3y ago

   This post suggest to main rules: Rule 1: Never mix workloads Rule 2: Apply guardrails Applying those two rules help to decompose a monolith into smaller components to get the benefits of monolith and avoid the problem with microservices.
2. 2.▲
   by sharepower123 3y ago

   I think that many people could be interested in sharing cost if they can obtain a LLaMA based finetuned model better than GPT4 in their preferred language. So there is an opportunity for someone creating a startup just for that.
3. 3.▲
   by sharepower123 3y ago

   Spoiler: the fragment "As an AI language model" reveals that the comment about the product or the book is from a LLM and not a person in a context in which it is supposed a person is giving a review to a product.
4. 4.▲
   by sharepower123 3y ago

   An hypothesis is that in the latent space there is something like a branching factor that can be used in context learning to select the main tree for others layers. So a LLM is able to have the knowledge of many specialized smallers LLM and
5. 5.▲
   by sharepower123 3y ago

   A model of publishing in which the authors of related work are compensated (citations, appearing as coauthors,...) would allow new approaches and ideas to be disseminated easily. The main factor here is about novelty and possible applicati