3 strategies to apply artificial intelligence in your company [ed. 2024]

[muskanislam99]

How many times have you heard the word Artificial Intelligence in the last week? If you think it's too many, think again.

The first great revolution of our times was the Internet, in the 1990s.
The second great revolution was the emergence of the mobile device
The third great revolution is artificial intelligence
This third revolution is going to disrupt our lifestyle more than the internet and mobile devices. Let's put it into numbers and see how you can apply it in your company.

Before we begin, let’s address the elephant in the room: the inherent risk that AI poses to us.

And that's what Elon says.

Is it dangerous? Not yet.
Can it be? Everyone agrees that it can.
Should we then stop its development? Everyone bolivia whatsapp lead agrees that we should not. It must be regulated, it must be controlled; this is also something that everyone agrees on.
Sundar, can you help us put some optimism before we start, please?

Perfect, we're done! Now that we've eliminated any doubts that AI is something huge and that it's a positive thing, let's move on to the 3 applications for your company!

Incorporating AI into communication:
Personalization is an area where AI is making great strides. Sophisticated algorithms analyze purchasing behavior, personal preferences, and demographics to deliver highly personalized recommendations. According to a report by Epsilon, 80% of consumers are more likely to buy from a company that offers personalized experiences. You probably think the same as me, but I can't stand the chatbots I encounter on websites!

The automated chatbots that have mushroomed over the past decade are not built with artificial intelligence.

Let's look at the chatbots you can choose from:

Google Dialogflow : Offers integration with many services and has natural language processing (NLP) capabilities.
Microsoft Bot Framework : Integrates with Azure and enables you to create sophisticated chatbots that can communicate across multiple channels.
IBM Watson : Known for its NLP capabilities, it is ideal for contexts that require deeper language understanding.
Rasa : An open source tool that allows full control over data and customization of the bot.
It is true that incorporating these chats requires technical knowledge that many small businesses lack. The access barrier to AI is still high. But, for this we have our second strategy.

It is important Create a website with Artificial Intelligence to implement all the benefits of AI without the need for technical knowledge or human or financial resources. AI reduces implementation and development costs.

While AI represents a qualitative leap like never before, it is important to choose tools that allow us to get the most out of it.

We have left the most important for last. There is

There are several tools and technologies competing with ChatGPT in the field of AI-based text generation. These tools vary in terms of capabilities, underlying technologies, and specific applications. Here I describe some of the top alternatives to ChatGPT on the market:

OpenAI GPT-3 and GPT-4
Although ChatGPT is based on OpenAI's GPT-3.5 and GPT-4 models, there are variations of the GPT model that are used in different applications and platforms. These models are powerful text generators and can be adapted for a variety of uses beyond simple conversation.

Applications: Content generation, coding assistance, question answering, etc.

Although the language models all work like a chat, hence the name ChatGPT, let's look at a practical example of a hair salon that wants to create a text to put on its website about what its mission should be.

It all comes down to the question you've asked - the better the question, or rather, the more detail it contains, the more accurate the answer will be. Both OpenAI and its competitors rely heavily on detailed instructions to achieve good results.

Google Gemini
Previously known as BERT (Bidirectional Encoder Representations from Transformers), Gemini is a natural language processing model developed by Google. It is known for its ability to understand the context of a word in a sentence. BERT and its variants (such as RoBERTa, developed by Facebook) are not text generators per se, but are widely used in tasks that require deep understanding of language.

Applications: Sentiment analysis, text classification, generating responses based on specific contexts.

T5 (Text-to-Text Transfer Transformer)
Developed by Google, T5 turns every natural language processing task into a text-to-text conversion problem, allowing it to perform translation, summarization, and question-answering tasks.

Applications: Text translation, summarization, text generation.

XLNet
XLNet is a machine learning model developed by Google and CMU that outperforms BERT in several natural language processing benchmarks. It uses a different technique that allows for a better understanding of the context and coherence of text.

Applications: Text completion, questions and answers, text classification.

Facebook BlenderBot:
BlenderBot is an AI chatbot model developed by Facebook that can engage in more coherent and contextual conversations with users. BlenderBot uses advanced techniques to handle long-term dialogues.

Applications: Chatbots for social networks, virtual assistants.

Salesforce CTRL:
CTRL is a conditional language model that allows users to specify control codes that influence the style, content, and task of the generated text.

Applications: Custom content generation, automated storytelling applications.

Jurassic-1 by AI21 Labs
Developed by AI21 Labs, Jurassic-1 is a large-scale language model that competes directly with models like GPT-3, offering similar capabilities in text generation and comprehension.

Applications: Content generation, writing assistants, education.

This list of models and tools represents the current one, but it will probably need to be updated every few months. The choice of a tool depends on the specific context and requirements of the desired application.

Now that you have an idea of ​​how to apply AI in your company, there is only one thing left to do: apply it. Good luck and we will continue with more material on AI soon.