Absolutely. I believe that after a couple years of prompting, I actually think more clearly overall.
GENERATIVE AI
-
Prompt-Writing Apps Raise the Floor But Understanding Matters Most
By
–
I've tested some of these prompt-writing apps. They're starting to do a pretty good job. I've even used them as the basis for my own prompts from time-to-time. But if you don't understand *why* they are better, you'll only ever get so far with them. I think they raise the floor
-
Prompt Engineering: Waste of Time or Secret Weapon?
By
–
Prompt engineering: Waste of time or secret weapon? In Co-Intelligence, Ethan Mollick effectively argues against "complex" prompt engineering. He rarely spends much time coaxing better output from resistant AI. But here's the thing… I've found that using the same
-
Snorkel Custom: Enterprise LLM Application Accelerator Announced
By
–
Today we're excited to announce Snorkel Custom, a hands-on accelerator for enterprises using LLMs to build AI applications. It pairs Snorkel Flow, an AI data development platform, with Snorkel AI researchers and ML practitioners.
Learn more: https://
snkl.ai/custom -
JSONL Dataset Examples with Function Calling Implementation
By
–
That’s the craziest part. I literally copy + pasted 10 JSONL examples (with the JSONL!) from a dataset I had laying around. I made sure that about half of the examples showed some form of function calling.
-
Alpaca Format Model Getting Chat-Tuned Version Soon
By
–
Looks like Alpaca format 🙁 But I can tell you that a chat-tuned version will hit, for sure… the model is so good
-
Mixtral 8x22B Function Calling Now Officially Working
By
–
Officially have function calling working with base Mixtral 8x22B. This model is insanely powerful, especially with few-shot.
-
Prompt Engineering Techniques for PaLM-2 and GPT-4
By
–
Of course, if it is PaLM-2, you want to start by asking the AI to "take a deep breath." Or just show GPT-4 a couple of pictures to get started.
-
Rerank 3 Achieves 2-3x Speed Improvement in Inference Performance
By
–
Rerank 3 is extremely efficient, offering state-of-the-art throughput with a 2-3x improvement in inference speed compared to prior models. We understand that in many business domains, such as customer support, quality results need to be delivered quickly.