All tags
Model: "llama-2-7b-chat"
GPT4Turbo A/B Test: gpt-4-0125-preview
gpt-4-turbo gpt-4-1106-preview gpt-3.5 llama-2-7b-chat tiny-llama mistral openai thebloke nous-research hugging-face multi-gpu-support model-optimization model-merging fine-tuning context-windows chatbot-personas api-performance text-transcription cost-considerations model-troubleshooting
OpenAI released a new GPT-4 Turbo version in January 2024, prompting natural experiments in summarization and discussions on API performance and cost trade-offs. The TheBloke Discord highlighted UnSloth's upcoming limited multi-GPU support for Google Colab beginners, AI models like Tiny Llama and Mistral running on Nintendo Switch, and advanced model merging techniques such as DARE and SLERP. The OpenAI Discord noted issues with GPT-4-1106-preview processing delays, troubleshooting GPT model errors, and transcription challenges with GPT-3.5 and GPT-4 Turbo. Nous Research AI focused on extending context windows, notably LLaMA-2-7B-Chat reaching 16,384 tokens, and fine-tuning alternatives like SelfExtend. Discussions also touched on chatbot persona creation, model configuration optimizations, and societal impacts of AI technology.
GPT4Turbo A/B Test: gpt-4-1106-preview
gpt-4-turbo gpt-4 gpt-3.5 openhermes-2.5-mistral-7b-4.0bpw exllamav2 llama-2-7b-chat mistral-instruct-v0.2 mistrallite llama2 openai huggingface thebloke nous-research mistral-ai langchain microsoft azure model-loading rhel dataset-generation llm-on-consoles fine-tuning speed-optimization api-performance prompt-engineering token-limits memory-constraints text-generation nlp-tools context-window-extension sliding-windows rope-theta non-finetuning-context-extension societal-impact
OpenAI released a new GPT-4 Turbo version, prompting a natural experiment in summarization comparing the November 2023 and January 2024 versions. The TheBloke Discord discussed troubleshooting model loading errors with OpenHermes-2.5-Mistral-7B-4.0bpw and exllamav2, debates on RHEL in ML, dataset generation for understanding GPT flaws, and running LLMs like Llama and Mistral on consoles. LangChain fine-tuning challenges for Llama2 were also noted. The OpenAI Discord highlighted GPT-4 speed inconsistencies, API vs web performance, prompt engineering with GPT-3.5 and GPT-4 Turbo, and DALL-E typo issues in image text. Discussions included NLP tools like semantic-text-splitter and collaboration concerns with GPT-4 Vision on Azure. The Nous Research AI Discord focused on extending context windows with Mistral instruct v0.2, MistralLite, and LLaMA-2-7B-Chat achieving 16,384 token context, plus alternatives like SelfExtend for context extension without fine-tuning. The societal impact of AI technology was also considered.