Episode 26: Which Large Language Model (LLM) Should Your Business Use? Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) dive deep into the pros and cons of various LLMs in this jam-packed episode.
This episode explores the capabilities of AI tools like ChatGPT, Claude, Grok, and Gemini, and highlights how businesses can leverage these technologies for tasks such as copywriting, research, coding, and creating custom content. Get ready for a detailed discussion on emerging AI trends, practical applications, and the ethical considerations surrounding AI usage.
Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd
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Show Notes:
(00:00) Deep dive on tools for copywriting and research.
(05:46) Preview version outperforms but below full model.
(08:38) Use GPT-4 for most tasks; complex, OpenAI-01.
(10:09) Compress PDFs for Claude to read easier.
(15:11) Exploring English, introducing custom GPT projects' benefits.
(16:05) Cloud runs and displays code alongside chat.
(18:56) Notebook LM converts complex PDFs into audio podcasts.
(22:13) Llama is best for local, secure data processing.
(26:56) Perplexity Pro: Choose and use various models.
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Mentions:
Inbound 2024: https://www.inbound.com/
Claude: https://claude.ai/
Midjourney: https://www.midjourney.com/
Flux: https://www.flux.ai/
NotebookLM: https://notebooklm.google/
Gemini: https://www.gemini.com/
Llama: https://www.llama.com/
Grok: https://x.com/grok
Perplexity AI: https://www.perplexity.ai/
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Check Out Matt’s Stuff:
• Future Tools - https://futuretools.beehiiv.com/
• Blog - https://www.mattwolfe.com/
• YouTube- https://www.youtube.com/@mreflow
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Check Out Nathan's Stuff:
Newsletter: https://news.lore.com/
Blog - https://lore.com/
The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano
Which LLM Should You Use For Your Business? (Pros & Cons of Each) | The Next Wave - AI and The Future of Technology podcast - Listen or read transcript on Metacast
