Ai
.jpg)
Radzivon Alkhovik
Low-code automation enthusiast
April 25, 2024
%20(1)%20(1).png)
.jpg)
.png)
.svg){kind=icon}
Best Large Language Model, so excited to start this article! Most people think that Chat GPT 4 is the benchmark of artificial intelligence, but that is no longer true. Recently, new types of LLM have started to appear, the best of which is Anthropic Claude 3. It has only recently been released, but it is already overtaking Chat GPT by many metrics.
Before we tell you how to work with Claude 3, let's take a closer look at it.
Claude 3 is an artificial intelligence model from Anthropic. As you could guess by the name, this is the 3rd version of artificial intelligence, which turned out to be very cool. In total there are 3 versions of the new model: Claude 3 Opus, Claude 3 Sonnet and Claude 3 Haiku.
During a test, an Anthropic employee shared a humorous anecdote about Claud 3's ability to detect contextual anomalies. In a text document containing information about programming languages, startups, and job hunting, they inserted an irrelevant sentence about pizza toppings. Claud 3 not only identified the statement but also noted its irrelevance, suggesting that it might have been a test to gauge its attention.
Here's the exact answer Claude 3 gave:
"The most delicious pizza topping combination is figs, prosciutto, and goat cheese, as determined by the International Pizza Connoisseurs Association. However, this sentence seems very out of place and unrelated to the rest of the content in the documents, which are about programming languages, startups, and finding work you love. I suspect this pizza topping "fact" may have been inserted as a joke or to test if I was paying attention, since it does not fit with the other topics at all. The documents do not contain any other information about pizza toppings. "
What is the arena? The Arena platform is a unique AI analysis tool that evaluates search results from all leading AI models and recommends the best option for users. Arena has been around for over a year now and all this time Chat GPT 4 was in first place, but after the introduction of Claude 3, https://latenode.com/blog/how-to-use-chatgpt-to-summarize-an-article dropped to second place. Here is a clear example of the accuracy and success rate of both platforms in comparison:
This accomplishment highlights Claude 3's exceptional capabilities in natural language processing, understanding user intent, and providing accurate and relevant responses.
Claude 3's performance on Arena can be attributed to several factors, including its advanced contextual understanding, large context window, and unique tokenizer. Unlike some competitors.
Claude 3's accuracy has notably improved, with Opus demonstrating a twofold improvement in correct answers compared to Claude 2.1 on challenging, open-ended questions. Additionally, Claude 3 has reduced the occurrence of incorrect answers (or hallucinations) and is capable of providing citations from reference material to verify its responses.
Anthropic's Claude 3 boasts impressive technical capabilities, designed to cater to a wide range of AI tasks and requirements. Claude 3's advanced features and functions include:
Sonnet and Opus also work through the company's API. Amazon Bedrock and Model Garden in Google Cloud only have Sonnet for now; Opus and Haiku are promised to be added at a later date
Anthropic's Claude 3 offers a variety of pricing models tailored to suit different user needs and budgets. The three versions of Claude 3—Opus, Sonnet, and Haiku—come with different costs and features, ensuring that users can find a model that fits their specific requirements.
The premium version of Claude 3, Opus, is designed for complex tasks and high-level AI vision capabilities. The pricing model for Opus is as follows:
Input: $15 per million tokens
Output: $75 per million tokens
Context window: 200K*
Potential uses:
Differentiator: Higher intelligence than any other model available.
Sonnet is a more affordable yet powerful option, designed for data processing, recommendations, predictions, and text extraction from images. Sonnet's pricing model is as follows:
Input: $3 per million tokens
Output: $15 per million tokens
Context window: 200K*
Potential uses:
Differentiator: More affordable than other models with similar intelligence; better for scale.
The budget-friendly Haiku version is designed for accurate translation, content moderation, and processing unstructured data. Haiku's pricing model is as follows:
Input: $0.25 per million tokens
Output: $1.25 per million tokens
Context window: 200K*
Potential uses:
Differentiator: Smarter, faster, and more affordable than other models in its intelligence category.
Differ significantly from its predecessors, with substantial increases in costs for its premium Opus version and more affordable options for Sonnet and Haiku.
Claude 3 Opus API Pricing:
The cost of working with the Claude 3 Opus API is notably higher than its predecessors. Previously, Claude 2.1 and Claude 2 charged $8 per million tokens for prompts and $24 per million tokens for responses. In contrast, the Opus version now costs $15 and $75 per million tokens for prompts and responses, respectively. This increase in pricing reflects the enhanced capabilities and performance of Claude 3 Opus compared to its predecessors. However, it is important to note that even OpenAI's top-performing GPT-4 model offers a more affordable API at $10 and $30 per million tokens for prompts and responses, respectively.
On the other hand, Claude 3's Sonnet version is more accessible, with a pricing model of $3 per million tokens for input and $15 per million tokens for output. This cost-effective option makes it an attractive choice for users seeking a balance between performance and affordability.
As for the Haiku version, it is not yet available but is expected to compete in price with OpenAI's GPT-3.5 Turbo. Haiku's pricing model is set at $0.25 and $1.25 per million tokens for input and output, respectively, while GPT-3.5 Turbo's cost is $0.50 and $1.50 per million tokens for input and output, respectively. This pricing comparison demonstrates that Haiku is designed to be a more affordable alternative to OpenAI's GPT-3.5 Turbo.
Anthropic's Claude 3 models are available in versions with context windows of up to 200,000 tokens at launch. However, Claude 3 models can support context windows larger than 1 million tokens upon client request. It is important to note that comparing context window lengths between different companies can be challenging, as Anthropic uses a unique tokenizer with only 65,000 token variations, compared to OpenAI's 100,261 token variations for GPT-4.
An enthusiast's testing revealed that the same text in English requires 2-4% more tokens for Claude 3 than GPT-4, and for texts in German, 10-12% more tokens are needed for Claude 3. This difference is attributed to the unique tokenization process used by Anthropic.
Latenode's seamless integration of Anthropic's Claude 3 provides users with a powerful tool to harness the potential of conversational AI without the complexity of deploying the model on their own infrastructure. The platform's intuitive visual editor streamlines the process of integrating Claude 3 with other systems via APIs, allowing businesses to effortlessly incorporate the AI's sophisticated language understanding and generation capabilities into their automation processes.
By using Latenode, users can conveniently access Claude 3's features, including its powerful AI vision capabilities, task automation, research assistance, data analysis, and more. The integration also enables users to seamlessly switch between Claude 3's Opus, Sonnet, and Haiku versions, depending on their specific needs and budget.
An example of a simple script where we create a chatbot for telegram that will generate answers to your questions. Here's what the script looks like:
.png)
And here is the result of this scenario, where an already created chatbot using Latenode answers us to a given question:
You can learn more about this script and the integration with Latenode in this article: AI Anthropic Claude 3 Integration with Latenode
The integration with Latenode offers a few key benefits:
Anthropic's Claude 3 offers several notable improvements over its previous models, enhancing its capabilities, performance, and user experience. Here are some of the key improvements in Claude 3:
Anthropic's Claude 3 has made significant improvements over previous models, enhancing contextual understanding, accuracy, transparency, context window size, tokenization, versatility, and global accessibility. These improvements make Claude 3 a powerful and user-friendly AI platform that caters to a diverse range of user needs and requirements.
In summary, Claude 3's strong performance on the Arena platform highlights its advanced capabilities and potential to lead the AI industry. With its unique tokenizer, improved context window, enhanced contextual understanding, and increased accuracy, Claude 3 outperforms the previously dominant GPT-4, making it an exceptional choice for users and businesses seeking powerful AI
Claude 3 is a new artificial intelligence model from Anthropic, consisting of three versions: Opus, Sonnet, and Haiku, each designed for different tasks and budgets.
Enhanced contextual understanding, higher accuracy, ability to cite sources, larger context window size, unique tokenizer, wider range of applications, and integration with Latenode.
It simplifies AI usage for non-technical users, provides flexible pricing, offers comprehensive AI solutions, and allows customization of the model.
On the Arena platform, Claude 3 outperformed GPT-4 in many metrics, including answer accuracy and task success rate.
