Selecting the right large voice model can feel overwhelming with so many options, especially if you don’t live and breathe
But as we have worked through everyone, we got a real feeling for what they are good (and where they are neglected).
So let’s talk about what to use, when.
Chatgpt & Openai-O1: The reliable all-rounders
Let’s start with Chatgpt and Openai-O1.
The latest model from Openai is impressive and people are traded on the skills of the “argument”-it was designed in such a way that, in addition to the creative tasks in which chatt was always great, it tackles more logical-caded things.
Why we like it
- Large on logic: Openai-O1 uses something to think as a chain of thoughts. It is easier to go through complex problems step by step.
- User -defined GPTS: With this function we can create models that are reminiscent of instructions that are specific for our work. If we need it to think like a project manager or a social media assistant, we can set up this with just a few clicks.
Where it is too short
- Overkill for basic things: Most of the time, GPT-4 can do the work. Openai-O1 seems with complex tasks, but they may not notice a big difference for simpler applications.
- No quantum jump: The big improvements are behind the scenes. If you expect to recognize massive changes in everyday use, you may be underwhelmed.
When to use it: Everything that includes more complex logic or if you need tailor -made answers, such as coding or detailed processing of content.
Claude from Anthropic: The Summariizer & Storytelling Champ
Claude is our point of contact to summarize and understand long documents.
It is also fantastic in storytelling, which is helpful if you have to simplify the creation of content dense information.
What does it miss
- Summary of the document: Claude is astonishing when it comes to dismantling information. So it is perfect if we have huge documents and need a short summary.
- User -friendly adaptation: The projects of Anthropic projects enables us to set up custom instructions for repetition tasks. It feels more intuitive than Chatgpt’s setup.
What you should pay attention to
- File size limits: If you upload a large file (over 20 MB), Claude sometimes adds an adjustment. We usually compress PDFs to avoid this, but it is worth knowing.
Best application: Summarize or create content if you need a simple, reliable tool that is easy to navigate.
Google Gemini: The King of the context (and podcasting)
Google’s Gemini feels in its own league when it comes to treating tons of data.
We love that it has a massive context window, which means that entire books can be kept and processed if necessary. It also has a strange new tool called Notebook LM that transforms documents into a mini-podcast for you.
Why is it cool
- Treats huge data loads: With a limit of 10 million words, Gemini can keep an eye on massive documents at once so that we can load entire libraries if necessary.
- Notebook LM: This function actually transforms documents into audio summary in a conversational podcast format. It is a great way to get the core of something during multitasking.
Disadvantages
- Limited adaptation: While it has “gemstones” (Google’s answer to custom GPTs), they are fairly simple. You cannot connect it with other tools or APIs, as you can do with chatt or claude.
When should Gemini turn: If you have to process a data mountain at the same time or if you feel like an audio overview while I do something else.
Lama of Meta: Privacy and flexibility
Lama is not necessarily the most progressive, but because it is open source, it is our point of contact if privacy is a problem.
In contrast to the others, Llama can run offline on her computer so that there is no data to a large tech company.
Why would I recommend it
- Keeps things privately: Since Lama runs on site, we can be sure that our data keeps away from the Internet.
- Highly adaptable: Lama’s open source, which means that we (or every developer) can change it for unique requirements. We don’t do that much, but it’s nice to know that it is an option.
Weaknesses
- Not the most powerful: It is not as good as Claude or Chatgpt for high -quality content or problem solutions. However, it is solid for basic applications.
If it makes sense to use: At any time, privacy is the key, as with sensitive internal data or if you only need a quick local solution.
GROK by Xai: Twitter data and realistic image generation
Grok is a funny one – it is a social media champion that is integrated into X (formerly Twitter).
It is a decent model and has a strong image generator, river that can take super realistic pictures. But where it really shines, Twitter data attracts in real time.
Why we use it
- Live Twitter knowledge: Grok shows us what trends or analyzing or analyzing on site.
- Image generation: Flux One can create realistic pictures of people, scenes and more, with a few limits on topics.
Disadvantages
- Niche application cases: It is ideal for Twitter data and images, but is not noticeable in general tasks such as summarization or storytelling.
Ideal use: Social media research and generation of realistic visuals for content.
Confusion: the best friend of a researcher
Technically speaking, confusion is technically a LLM in the traditional sense. Instead, it is a AI-involved research instrument that draws information from the Internet and then uses a model to organize it.
It is our point of contact if I need quick, precise information or a second opinion on a topic.
What does it make indispensable
- Web search functions: Confusion searches the web and summarizes content, which makes it perfect for research tasks.
- Choose your model: We can use GPT-4, Claude or even Openai-O1 as a “engine” in confusion, so that we always get the model that meets our needs.
restrictions
- Double test for accuracy: Sometimes it mixes similar names or pulls outdated information, so it is good to check important facts.
When I use confusion: Every time I am in “research mode” or need current knowledge for blog posts, presentations or meetings.
Finding the right LLM can be as simple as the strengths of a tool with your requirements.
Our advice? Try a few and do not hesitate to mix to achieve the best results.
