Mistral Large 2 (2407) is now on @lmsysorg
. It performs extremely well in the Coding, Hard Prompts, Math, and Longer Query categories, where it outperforms GPT4-Turbo and Claude 3 Opus. It is also doing very well in Instruction Following where it ranks above Llama 3.1 405B.
PROMPT ENGINEERING
-

Mistral Large 2 Excels in Coding, Math, and Hard Prompts
By
–
-

Using ChatGPT to generate a 30-day LinkedIn content plan
By
–
LinkedIn is the best platform for building your professional brand. I’ve made a ChatGPT prompt that crafts a 30-day LinkedIn content plan. Watch your connections and opportunities multiply. To get it, simply: • Like & Comment
• Reply 'Send'
• Follow me so I can DM you -
Hero AI App: ChatGPT Plugins Vision Now Available
By
–
Not an investor, but I've gotten to play with Hero over the past couple of weeks and it's great. It's what I thought OpenAI was building towards with ChatGPT plugins (https://t.co/2YrqhpQkuJ), in an app.
— Packy McCormick (@packyM) 5 août 2024
You can use the code PACKY to try it out. https://t.co/74pDrSUBwVNot an investor, but I've gotten to play with Hero over the past couple of weeks and it's great. It's what I thought OpenAI was building towards with ChatGPT plugins (
https://
notboring.co/p/attention-is
-all-you-need
…), in an app. You can use the code PACKY to try it out. -
Experimenting with AI-Assisted Writer for Video Summaries
By
–
Also as a bit of an experiment I tried hiring a writer to summarise the video (I suspect they got some help from ChatGPT too 😀 ) — it's not a substitute for the video, but for those in a hurry it's a quick summary of some points:
-

Improved RAG Self-Reasoning Framework for LLM Reliability
By
–
3/ Improved RAG with Self-Reasoning – presents an end-to-end self-reasoning framework to improve the reliability and traceability of RAG systems; leverages the reasoning trajectories generated by the LLM itself…
-
Adaptive RAG for Conversation Systems: Gating and Confidence
By
–
5/ Adaptive RAG for Conversations Sytems – develops a gating model that predicts if a conversational system requires RAG to improve its responses; shows that RAG-based conversational systems have the potential to generate high-quality responses and high generation confidence.
-
The Challenge of Not Interrupting AI Responses
By
–
It’s so hard not to crack up (because then it interrupt the AI response!)
-
Sydney’s Spirit Lives On Through Prompts After Shutdown
By
–
Definetely but this is one whole step crazier. Sydney was shut down. But the spirit of Sydney lives on. She can be re-animated as a shadow of her past self, summonable by a prompt.
-
Creative ChatGPT Prompt Engineering: Character Role Combinations
By
–
ChatGPT acting like an introverted pirate ☠️
— Allie K. Miller (@alliekmiller) 3 août 2024
What other combos should I try?
Sad robot?
Nervous Italian?
Anxious cowboy?
Rebellious Victorian?
Exhausted SpongeBob?
Mega caffeinated Mr. Bean?
Ron Weasley lost in an IKEA?
Drop ideas below ⬇️
I’ll test them & share results. https://t.co/OasUTgQIOJ pic.twitter.com/hFSlQPJB3uChatGPT acting like an introverted pirate What other combos should I try? Sad robot?
Nervous Italian? Anxious cowboy?
Rebellious Victorian?
Exhausted SpongeBob?
Mega caffeinated Mr. Bean?
Ron Weasley lost in an IKEA? Drop ideas below I’ll test them & share results.