Which LLM Should You Use for Your Business? [Pros and Cons]

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Choosing the right large language model can feel overwhelming with so many options out there, especially if you're not exactly living and breathing AI

But as we've worked through each one, we've gotten a real sense of what they're good at (and where they fall short).

So, let's talk about what to use, when.

ChatGPT & OpenAI-o1: The Reliable All-Rounders

Let's start with ChatGPT and OpenAI-o1.

OpenAI's latest model is impressive, and people are hyped about its "reasoning" abilities - basically, it's designed to tackle more logic-heavy stuff alongside the creative tasks that ChatGPT has always been great at.

Why We Like It

• Big on Logic: OpenAI-o1 uses something called chain-of-thought reasoning. In simpler terms, it's better at walking through complex problems step by step.
• Custom GPTs: This feature lets us create models that remember instructions specific to our work. If we need it to think like a project manager or a social media assistant, we can set that up with just a few clicks.

Where It Falls Short

• Overkill for Basic Stuff: Most of the time, GPT-4 can get the job done. OpenAI-o1 shines with complex tasks, but you might not notice a huge difference for more straightforward use cases.
• Not a Quantum Leap: The big improvements are behind the scenes. If you're expecting to see massive changes in day-to-day use, you might be underwhelmed.

When to Use It: Anything involving more complex logic, or when you need tailored responses, like for coding or detailed content editing.

Claude by Anthropic: The Summarizer & Storytelling Champ

Claude is our go-to for summarizing and making sense of long documents.

It's also fantastic at storytelling, which is helpful if you're in content creation or need to simplify dense information.

What Makes It Stand Out

• Document Summarization: Claude is amazing at boiling down information, so it's perfect when we've got huge documents m and need a quick summary.
• User-Friendly Customization: Anthropic's Projects feature lets us set up custom instructions for repeat tasks. It feels more intuitive than ChatGPT's setup.

What to Watch Out For

• File Size Limits: If you upload a big file (over 20 MB), Claude sometimes throws a fit. We usually compress PDFs to work around this, but it's worth knowing.

Best Use Case: Summarizing or creating content when you need a straightforward, reliable tool that's easy to navigate.

Google Gemini: The King of Context (and Podcasting)

Google's Gemini feels like it's in a league of its own when it comes to handling tons of data.

We love that it has a massive context window, meaning it can hold and process entire books if needed. Plus, it has a quirky new tool called Notebook LM that turns docs into a mini-podcast for you.

Why It's Cool

• Handles Huge Data Loads: With a 10-million-word limit, Gemini can keep track of massive documents all at once, so we can load entire libraries if we need to.
• Notebook LM: This feature actually turns documents into audio summaries in a conversational podcast format. It's a great way to get the gist of something while multitasking.

Drawbacks

• Limited Customization: While it has "Gems" (Google's answer to custom GPTs), they're pretty basic. You can't connect it to other tools or APIs like you can with ChatGPT or Claude.

When to Turn to Gemini: When you need to process a mountain of data at once, or if you're in the mood for an audio summary while I'm doing something else.

Llama by Meta: Privacy & Flexibility

Llama isn't necessarily the most advanced, but because it's open-source, it's our go-to when privacy is a concern.

Unlike the others, Llama can run offline on your computer, so it doesn't share data with a big tech company.

Why I'd Recommend It

• Keeps Things Private: Since Llama runs locally, we can be sure our data stays off the internet.
• Highly Customizable: Llama's open-source, meaning we (or any developer) can modify it for unique needs. We don't do this much, but it's nice to know it's an option.

Weak Spots

• Not the Most Powerful: It's not as good as Claude or ChatGPT for high-quality content or problem-solving. But for basic use cases, it's solid.

When It Makes Sense to Use: Anytime privacy is key, like with sensitive internal data, or when you just need a quick local solution.

Grok by xAI: Twitter Data & Realistic Image Generation

Grok is a fun one - it's a social media native, integrated with X (formerly Twitter).

It's a decent model and comes with a strong image generator, Flux One, that can make super-realistic visuals. But where it really shines is pulling in Twitter data in real-time.

Why We Use It

• Live Twitter Insights: Grok lets us see what's trending or analyze popular Twitter profiles on the spot.
• Image Generation: Flux One can create realistic images of people, scenes, and more, with few limits on topics.

Downsides

• Niche Use Cases: It's great for Twitter data and images but doesn't stand out in general tasks like summarization or storytelling.

Ideal Use: Social media research and generating realistic visuals for content.

Perplexity: A Researcher's Best Friend

Perplexity isn't technically an LLM in the traditional sense. Instead, it's an AI-powered research tool that pulls information from the internet and then uses a model to organize it.

It's our go-to when I need quick, accurate information or a second opinion on a topic.

What Makes It Indispensable

• Web Search Capabilities: Perplexity searches the web and summarizes content, making it perfect for research-heavy tasks.
• Choose Your Model: we can use GPT-4, Claude, or even OpenAI-o1 as our "engine" within Perplexity, so we always get the model that fits our needs.

Caveats

• Double-Check for Accuracy: Sometimes it mixes up similar names or pulls outdated info, so it's good to cross-check important facts.

When I Use Perplexity: Anytime I'm in "research mode" or need up-to-date insights for blog posts, presentations, or meetings.

Finding the right LLM can be as simple as matching a tool's strengths to your needs.

Our advice? Try out a few, and don't hesitate to mix and match to get the best results.

Topics: Artificial Intelligence

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