Gorilla: Large Language Model Connected with Massive APIs · HackerPapers discussions

Gorilla: Large Language Model Connected with Massive APIs — mentioned by pplonski86

Mon, 11 Sep 2023 07:25:36 GMT

How RestGPT differs from ToolLLM or Gorilla? papers: 1. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs https://arxiv.org/abs/2307.16789 2. Gorilla: Large Language Model Connected with Massive APIs https://arxiv.org/abs/2305.15334

Paper and discussion history. A mention is not an endorsement.

Gorilla: Large Language Model Connected with Massive APIs — mentioned by anon373839

Mon, 19 Jun 2023 04:46:26 GMT

1. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks https://huggingface.co/papers/2305.14201 2. Gorilla: Large Language Model Connected with Massive APIs https://arxiv.org/abs/2305.15334

Paper and discussion history. A mention is not an endorsement.

Gorilla: Large Language Model Connected with Massive APIs — mentioned by anon373839

Tue, 06 Jun 2023 23:05:59 GMT

> a base for fine-tuning a task specific model Yes. The 7B size can perform very well when tuned on a specific menu of tasks: 1. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks https://huggingface.co/papers/2305.14201 2. Gorilla: Large Language Model Connected with Massive APIs https://arxiv.org/abs/2305.15334

Paper and discussion history. A mention is not an endorsement.

Gorilla: Large Language Model Connected with Massive APIs — HN submission

Sun, 04 Jun 2023 04:19:26 GMT

Gorilla: Large Language Model Connected with APIs

5 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Gorilla: Large Language Model Connected with Massive APIs — mentioned by dinvlad

Thu, 01 Jun 2023 22:15:26 GMT

FWIW there’s this paper that just came out, and promises a low hallucination factor (not quite for pentesting, but this could be a useful starting point): “Gorilla: Large Language Model Connected with Massive APIs” https://arxiv.org/abs/2305.15334

Paper and discussion history. A mention is not an endorsement.

Gorilla: Large Language Model Connected with Massive APIs — mentioned by anon373839

Thu, 01 Jun 2023 08:30:25 GMT

Sure, here are two: 1. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks https://huggingface.co/papers/2305.14201 2. Gorilla: Large Language Model Connected with Massive APIs https://arxiv.org/abs/2305.15334 Consider also these 2 papers supporting the feasibility of fine-tuning: 3. LIMA: Less Is More for Alignment [showing that a very small number of high quality examples is sufficient to align a base model] https://arxiv.org/abs/2305.11206 4. QLoRA: Efficient Finetuning of Quantized LLMs [showing that LLMs can now be fine-tuned quickly on consumer-grade GPUs]…

Paper and discussion history. A mention is not an endorsement.

Gorilla: Large Language Model Connected with Massive APIs — mentioned by aledalgrande

Fri, 26 May 2023 01:50:18 GMT

Paper if their site isn't loading https://arxiv.org/pdf/2305.15334.pdf

Paper and discussion history. A mention is not an endorsement.

Gorilla: Large Language Model Connected with Massive APIs — HN submission

Thu, 25 May 2023 11:13:58 GMT

Gorilla: Large Language Model Connected with APIs

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.