I stopped using GPT-4, that's all you should know, lol.
@skirano
-
Claude vs GPT: Document Retrieval Behavior Differences
By
–
Another interesting thing that Claude does compared to GPT: each time you ask a question over a chat with provided docs, it always does the retrieval part, instead you need to force GPT into doing it for each message, and sometimes it just won't do it.
-
Claude 3 Demonstrates Higher IQ Than Competing AI Models
By
–
I would also say (and forgive me for not having the data here) that Claude 3 has a higher IQ too, from what I have seen than any other models. I would say probably around 100.
-
Long Context and Memory Enhance AI Understanding
By
–
Long context, together with almost perfect retrieval and memory, would do that, plus sprinkle in a good level of understanding.
-
MLX Axolotl Google Vertex AI frameworks comparison
By
–
MLX, Axolotl, Google vertex, depends on the cases
-
Converting JSONL files to TXT format for upload
By
–
I had them in JSONL, but you can't upload that type of file, so I converted the files to TXT.
-
Data Structure Strategy for Model Fine-tuning
By
–
That's just how I structure my data when I do a regular fine-tune; it's just random samples across two files for training and validation.
-
One-Shot Prompts for Fine-Tuning Models Without Extra Instructions
By
–
I could say to avoid that, I do use a lot of emojis though, but for a one-shot prompt to fine-tune with no extra instructions is super impressive.
-
Fine-tuning Hundreds of LLMs Achieves Best Tweet Results
By
–
For context, I have fine-tuned hundreds of large language models; these are the best results I have seen on my tweets.
-
Claude 3’s Retrieval Ability Mimics Fine-tuning with Structured Data
By
–
Claude 3's retrieval ability over long content is so good that if you provide structured data, it essentially acts like a fine-tune! I gave it 800 of my tweets and now it just speaks like me. It's hard to convey my level of shock… It even tagged @Replit and @everartai
!