Cbs Vs Abs Which Is Better

[Shanta Plansinis]

BothGPT4o and GPT4 Turbo are terrible in comparison to GPT-4 for some things, but in other places GPT4o shares the same terrible logic as GPT-4. GPT4o has been a good supplement for most things that do not involve dealing with analysis and logic, and strict commands, but I often have to switch to GPT-4 for better responses.

Because GPT4o is cheaper and sometimes equivalent to GPT4 (which is at times also a box of rocks), I find myself switching between GPT4o and GPT4 for the same types of conversations that require different types of analysis.

GPT4o:

Yes, GPT-4 and GPT-4 Turbo use different neural networks. GPT-4 Turbo is designed to be cheaper and faster than GPT-4, although the exact differences in architecture and operation are proprietary and not disclosed by OpenAI. Both models aim to provide high-quality language generation but with different optimization focuses.

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Hey folks. Firstly, we want to assure you we are not just ChatGPT fanboys over here. Andy (my Evolution Unleashed biz partner) & I use many other AI tools that we don't always talk about, and one of those is Claude 2 by Anthropic.

Very good at reasoning, strategy, and connecting multiple moving parts into cohesive and clear output. Sentiment and Data analysis is exceptional. We can take an email, run it through ChatGPT and understand the senders mindset, sentiment, and motivations. Plugins allow us to do some amazing things, such as Webpilot which can read a specific URL (whether that's a website, a PDF on a URL, etc). Ability to easily edit prompts, 'work sideways' and refine our outputs. Often, when we build new prompts, we may make 20 - 30 iterations.

Token restrictions and limits can be very frustrating, but are easy enough to workaround. However, the model is capable of SO MUCH MORE than we have access to due to scaling and hardware issues holding it back Memory is annoying - it often can lose memory because it can only hold so much of the conversation. And when it loses memory from your context and prompt, it resorts to garbage output. Copywriting with ChatGPT is much more challenging. If you're a professional copywriter, this won't cause too much of a problem, but for everyone else, they usually end up with robotic, non-natural sounding text that is obviously written by an AI. And let's be honest - we see that type of content everywhere.

Claude is a wonderful at writing natural sounding copy. In fact, I leaned heavily into Claude when writing the copy for the landing page for our new course, Advanced Prompt Mastery. (I'll throw a link in the comments so you can see it for yourself). It is effortless to write really nice sounding copy. Today, I created an email sequence for a friends client in just 45 minutes and it was super good. Ability to work with large documents through file upload - you can also upload 5 different files in a single chat, up to around 100k words total. The more context you give AI's, the better the ability to generate relevant content, so we really like this feature. Much more memory - it doesn't run out of memory in a conversation so you can work a long way down and it still remembers context and instructions (well, to a point, see cons below)

No ability to edit prompts or refine them, so you're forced to work down - so you can only 'prompt chain'. This heavily restricts our ability to get the best out of our prompts. You have to constantly remind it not to forget a specific instruction. So you might have instructions in place, but you don't like the output, so you ask it to redo it with a specific change. It does so, but accidentally ignores a previous instruction, resulting in having to remind it. Free plan only has 5 - 7 conversations and then you're done. Which is a shame, as you can't edit prompts and it often takes 2 - 3 attempts to get it to actually obey all the instructions, especially with more complex prompts. No plugins or ability to access the web.

We use Claude for copywriting. We can feed it a LOT of context around our target market, business, products and services, etc. And then we can get it to write all kinds of copy - from email to social media posts to landing pages.

What is interesting is that Anthropic, the company behind Claude 2, was formed by a group of former OpenAI researchers & developers who became disillusioned with the direction OpenAI decided to take (they went from open source to closed source) so they went out to create their vision for AI themselves. While they are 'behind' OpenAI in terms of development, they are well funded and I think, an exceptional team.

ChatGPT and Claude have complementary strengths and weaknesses. ChatGPT is more advanced technologically while Claude produces more natural language. For complex strategic tasks, ChatGPT is preferable. For marketing copywriting, Claude generates higher quality output.

What I do want to highlight is that whilst the KitchenAid seems like the cheaper option at first glance, The Kenwood Chef XL and Titanium XL (basically, anything with an XL in the name) has a capacity of 6.7 Litres as opposed to the 4.8L KitchenAid Artisan.

Both mixers come kitted out with similar attachments such as a dough hook, beater, and balloon whisk, with the addition of a splashguard. The Kenwood mixer differs in that it also comes with a folding attachment, which truth be told, hardly ever gets used in my kitchen for the fact that this function is easily replicated with the beater on the lowest speed.

Hello! I personally find the Chef XL Kenwood so good for large batches. When I use a KA for large batches, the engine sounds strained, loud and it also overflows out the sides (on the regular sized bowl). If I were in your shoes, Id be happy with a Chef XL. If there is an option for an extended warranty and it isnt expensive, I would probably lean towards getting extended warranty too as we bakers need a lot of assurance cause we use our machines a lot. Hope this helps!

Hello, it is good to find your review between the 2 brands! The only thing I am wondering if the better comparison would have been the Kenwood Chef (non XL) with the similar 4.6L capacity bowl, for the sake of a more even comparison of power and size (also differing size and quality of the attachments). I do realize it is still unfair to ask as you are comparing similar price tier which is still a very valid comparison point, as for similar cost you get a more robust machine.

Would you say that the XL 6.7L bowls are still perfectly fine for regular batches of cakes etc, I am a hobby baker and wondering if it would struggle with a smaller volume recipe in terms of mixing etc?

I have had my Kenwood for about 8 years and love it.

But my dough hook got stuck and would not release . I could not find anyone that could work on Kenwood to help me.

My husband finally got the hook to release.

Before using it again I am wondering if I need to spray a dry lubricant in the connection area.

I know WD40 could gum it up that is why I am thinking about a dry lub.

Can you give my any info on who I can contact Re servicing my Kenwood in California?

In 1972, my mother bought a Kenwood Chef. The one with the very large stainless bowl. I think she bought every attachment too. This machine is now mine and is STILL going strong after more than 50 years as a family workhorse. I have a feeling that it could be out if warranty by now.

Ik heb de kenwood xl maar twijfel om de kitchenaid aan te schaffen omdat de kenwood op hoge snelheid niet alleen te laten is want hij danst van de kast. Is dit ook zo met kitchenaid of niet? Ik twijfel enkel over de wattage want die van mij is 1300 whatt en kitchenaid heeft maar 300.

Thank you for your review on both these mixers. I have been doing a lot of searching on the internet to give me an idea of which would be better for me, and I think this article has given me a more unbiased opinion.

I've just arrived to Node.js and see that there are many libs to use with the MongoDB, the most popular seem to be these two: (mongoose and mongodb). Can I get pros and cons of those extensions? Are there better alternatives to these two?

Edit: Found a new library that seems also interesting node-mongolian and is "Mongolian DeadBeef is an awesome Mongo DB node.js driver that attempts to closely approximate the mongodb shell." (readme.md)

Mongoose is higher level and uses the MongoDB driver (it's a dependency, check the package.json), so you'll be using that either way given those options. The question you should be asking yourself is, "Do I want to use the raw driver, or do I need an object-document modeling tool?" If you're looking for an object modeling (ODM, a counterpart to ORMs from the SQL world) tool to skip some lower level work, you want Mongoose.

If you want a driver, because you intend to break a lot of rules that an ODM might enforce, go with MongoDB. If you want a fast driver, and can live with some missing features, give Mongolian DeadBeef a try: -mongolian

But honestly, it's really useful. The biggest issue is the documentation. It's there, but it's dry and hard to find what you need. It could use better explanations and more examples. But once you get past these things it works really really well.

Abstraction brings in it's requirements and you have to follow those. Your app will be slower, eat more RAM and be more complicated, but if you know how to use it, you can faster write simple objects, save those to database.

Without mongoose you will have faster application with direct connection to mongodb. No-one says, that you can't write your own models to save stuff to db. You can. And I think it's easier. You write code, which you will use, you know what you need. You abstraction layer will be way smaller, then mongoose's.

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