OpenAI's GPT embedding models are used across all LlamaIndex examples, even though they seem to be the most expensive and worst performing embedding models compared to T5 and sentence-transformers models (see comparison below). How do I useall-roberta-large-v1as embedding model, in combination ...
I have created following stored procedure using two pivots, one for data for comparison (C= current) and another for previous data (P = previous) ALTER PROCEDURE [dbo].[Comparative] @pstrdt datetime, @penddt datetime, @cstrdt datetime, @cenddt datetime, @loco_type ...
Using artificial intelligence to generate medical literature for urology patients: a comparison of three different large language modelsdoi:10.1007/s00345-024-05146-3Artificial intelligence (AI)Large language model (LLM)Patient information leafletChatGPT...
I set temperature = 0 so that the responses are always the same (no randomness) to allow better comparison. You should be able to reproduce these results, or at the very least get the same different result every time. The two responses were different, although both of them admitted "not ...
By saying that, the value lies in the years of the industry business practices being built into software components by the software/service vendors, which makes it challenging and time-consuming to select the proper Large Language Models (LLMs) and train the model to acquire that knowledge and...
Pre- and post-treatment measurements are conducted for comparison; the results from all rock types show improvement in permeability and flow. The results of advanced core characterizations, imaging and visualization are presented. The success of the lab experiments leads to the development of a field...
SEE:Feature comparison: Data analytics software and services(Tech Pro Research) What is descriptive analytics? Descriptive analytics is rule-based—more directly, "somebody has to program the rules," according to Boris Evelson, vice president and principal analyst at Forrester. Descriptive analytics ...
Since training LLMs on consumer-level GPUs is the trend, but we're still lack of larger high-quality instruction datasets. Although some tasks requires private knowledge datasets with professions experiences, which has concern of data privacy, but it's still worth to let them know how to ...
By way of comparison, software-only HCI Vendor A's average response time was 5.67ms and Vendor B's was 2.43ms. Again, we examined the same workload on the two alternative systems with deduplication and compression disabled, to determine the potential impact of these technolo...
Modern-day large language models (LLMs) generate high-quality content across multiple domains, potentially helping educators to develop high-quality questions. Automated educational question generation (AEQG) is important in scaling online education catering to a diverse student population. Past attempts ...