TechQA.

Question

Is it possible to fine tune or use RAG on the CoreML version of Llama2?

score 263 · Answer 1 · 2023-10-13 16:11:26

1

Answer

263

Views

Is it possible to fine tune or use RAG on the CoreML version of Llama2?

263 views Asked by Mike Ike At 13 October 2023 at 16:11

score 1773 · Answer 2 · 2023-10-17 14:37:12

Compare two strings by meaning using LLMs

1.7k views Asked by root At 17 October 2023 at 14:37

score 395 · Answer 3 · 2023-10-14 11:16:29

Implementation (and working) differences between AutoModelForCausalLMWithValueHead vs AutoModelForCausalLM?

395 views Asked by Deshwal At 14 October 2023 at 11:16

score 166 · Answer 4 · 2023-10-18 07:09:33

How do I know the right data format for different LLMs finetuning？

166 views Asked by John At 18 October 2023 at 07:09

score 81 · Answer 5 · 2023-10-16 07:55:20

I am trying to make a product which will reformat the answer using the question and Sql_answer as data

81 views Asked by S_K At 16 October 2023 at 07:55

score 339 · Answer 6 · 2023-10-10 06:39:16

CUDA OutOfMemoryError but free memory is always half of required memory in error message

339 views Asked by olivarb At 10 October 2023 at 06:39

score 861 · Answer 7 · 2023-10-17 07:04:56

Query with my own data using langchain and pinecone

861 views Asked by javascript-wtf At 17 October 2023 at 07:04

score 441 · Answer 8 · 2023-10-18 12:28:45

Could not find a version that satisfies the requirement python-magic-bin

441 views Asked by Debrup Paul At 18 October 2023 at 12:28

score 619 · Answer 9 · 2023-10-14 21:28:49

Any possibility to increase performance of querying chromadb persisted locally

619 views Asked by mlee_jordan At 14 October 2023 at 21:28

score 124 · Answer 10 · 2023-10-12 11:23:02

Grid based decision making with Llama 2

124 views Asked by skvp At 12 October 2023 at 11:23

TechQA.

List Question

Is it possible to fine tune or use RAG on the CoreML version of Llama2?

Compare two strings by meaning using LLMs

Implementation (and working) differences between AutoModelForCausalLMWithValueHead vs AutoModelForCausalLM?

How do I know the right data format for different LLMs finetuning？

I am trying to make a product which will reformat the answer using the question and Sql_answer as data

CUDA OutOfMemoryError but free memory is always half of required memory in error message

Query with my own data using langchain and pinecone

Could not find a version that satisfies the requirement python-magic-bin

Any possibility to increase performance of querying chromadb persisted locally

Grid based decision making with Llama 2

Popular Questions

Popular Tags

Trending Questions