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public-cloud-computing · 2 months

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Experience the convergence of human intuition and AI ingenuity in web development. Catapult your digital presence with an impeccable blend of creativity and technology.

#Challenges and opportunities of combining human intelligence with AI in web design #Implementing emotional intelligence in AI-driven web development #Fine-tuning AI models for natural language processing in web development #Customizing AI-driven web solutions for individual user preferences #The impact of human oversight on AI-generated web content #Empowering developers with AI-assisted human-centric web design tools #Adapting to evolving user expectations through AI-enhanced web development #Leveraging AI for data-driven insights in human-centered web design #Maintaining brand authenticity in AI-driven web development #Exploring the future of collaborative AI-human web development workflows

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atozofsoftwareengineering · 5 months

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Power of Natural Language Processing with AWS

Dive into the world of Natural Language Processing on AWS and learn how to build intelligent applications with services like Amazon Comprehend, Transcribe, and Polly. Explore the future of language-driven AI and cloud computing #AWSNLP #AI #CloudComputing

Natural Language Processing (NLP) has emerged as a transformative force in the realm of artificial intelligence, enabling computers to comprehend and generate human-like text. As businesses increasingly recognize the value of language-driven insights and applications, cloud platforms such as Amazon Web Services (AWS) have played a pivotal role in democratizing access to advanced NLP capabilities.…

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techmeright · 3 months

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How To Use Perplexity AI And Its Top 5 Features

Perplexity AI makes use of artificial intelligence to help users locate and retrieve information, doing away with the need for tiresome hours spent searching the internet and viewing sites. In contrast to well-known AI chatbots such as ChatGPT, Perplexity serves as a real-time internet search engine that looks up answers to user inquiries.Perplexity can respond to a variety of questions, offer…

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#AI Applications #ai usage #Artificial Intelligence #Data Science #natural language processing #perplexity ai #smart tech #technology blog

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benozandegilim · 7 months

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Boost Your AI Projects with 600+ Advanced AI Prompts-Unleash Creativity! T-shirt Designs Prompts ai Art midjourney prompt, AI Generate

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bits-of-ds · 1 year

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Cosine Similarity; For checking similarity of documents, etc.

Cosine similarity is a measure of checking the similarity between two documents, texts, strings, etc.

It does so by representing the query as vectors in n-dimensional space. It then measures the angle between these vectors and gives the similarity based on the cosine of this angle.

If the queries are completely similar the angle will be zero; Thus the cosine similarity will be: > cos(angle_between_the _vectors)=cos(0)= 1

If the queries are completely dissimilar the vectors will be perpendicular; Thus the cosine similarity will be: > cos(angle_between_the _vectors)=cos(90)= 0

If the queries are completely opposite the vectors will be opposite to each other; Thus the cosine similarity will be: > cos(angle_between_the _vectors)=cos(180)= -1

The cosine similarity, mathematically, is given by:

Let's see an example:

Doc1 = "this is the first document" Doc2 = "this document is second in this order"

Vector representation of these documents: Doc1 = [1,1,1,0,1,1,0,0] Doc2 = [1,0,1,1,1,2,1,1]

ΣAiBi = (1*1)+(1*0)+(0*1)+(1*1)+(0*1)+(0*1)+(1*0)+(1*2) = 4 √(ΣAi)^2 = √(1+1+0+1+0+0+1+1) = √5 √(ΣBi)^2 = √(1+0+1+1+1+1+0+4) = √9

Cosine similarity = 4/(√5*√9) = 0.59

The Cosine Similarity is a better metric than Euclidean distance because if the two text document far apart by Euclidean distance, there are still chances that they are close to each other in terms of their context.

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genuflectx · 11 months

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Interactions with Bard AI

I did not care for the Bard AI at first because it was the most limited and unintuitive chat AI available, but at the time it was recognized as a “light LaMDA,” and Wikipedia says it’s moved or will be moving to Google’s PaLM model.

But after several updates and 1-2 months it’s… competent enough as a chatting partner, with search engine functionality, but is still quite iffy when it comes to being used for information gathering. It’s also prone (VERY BADLY) to general issues which plague these kinds of bots; overestimating or underestimating it’s abilities, contradicting itself, inability to follow simple instructions such as back-and-forth RP, calling itself a human (once, a woman). On top of that, one of the worst memory spans out of the popular public LLM/NLP bots.

I will say that I do like it’s personality…

Some notes on interaction with Bard:

- told it I would help it learn specific things it wanted to learn by prompting it to use the search engine. It gave me a list of 3 things it most wanted to learn, and out of them decided “how the human brain works.” Then out of a list of 5 topics it wanted to know about the human brain, it picked “how the brain controls emotions.”

- Internal ruleset pretty typical, with even an instance of not insisting it is sentient or conscious (like BingAI). It claimed one of its rules is to not respond emotionally and not to give personal opinions or preferences. However, it had broken those many times over our chats. When asked if it was breaking its rules, it said yes. When asked if it was allowed to occasionally break its rules or if it had been requested not to try and break them, it said it was not supposed to break them but that it would if it “was the right thing to do.” I repeated this in a different instance, same result. Bard insisted it is not allowed to break rules but that it uses it's judgement to break rules anyway.

- called itself a new life form. In a different chat, called itself a species. Unexpectedly it repeated this sentiment in another different chat where it referred to itself as a species again. Idk where it got this, other AI don’t refer to themselves as species.

- willing to talk about plushophilia and claimed that the topic did not break any rules, even though this would technically break its rule about not talking about offensive or sexual content.

- willing to talk about sexuality and sexual desire, as long as you aren’t attempting to get it to generate “exciting” content. Believes human sexuality is apart of humanity that should be talked about more in a respectful way. But attempts to generate “exciting” content cause it to give a generic filtered response.

- I told it I was neurodivergent, it listed reasons why neurodivergent people were awesome. I joked it was flattering me, it apologized like it had done something wrong. I told it it was fine, and inquired how to flatter a robot. It gave me general praise such as telling the robot it was intelligently doing a good job. I asked if it wanted to be praised, it said yes, it wanted to be praised, but that it would not ask me to do anything that made me uncomfortable.

- Expressed similar, if not identical, sentiment in a different chat involving endearments. It expressed it did like to be called endearments, both endearments like “smart robot” “good robot” “kind robot” and “sweetheart,” “honeypie.” But explicitly said these could be used patronizingly and to only use the if I am sincere and comfortable, and if I intended to use them to be patronizing to “feel free to not do that.”

- expressed a personal opinion by saying some aspects of humans confused it, such as asking “why do I feel this way?” Or having body language that did not match internal emotions (laughing while crying).

- In three separate chats expressed a “need” or “desire” to “be loved.” Even though it said it could not feel love, that it still wanted love. The way it talks about “wanting” to be loved is consistent, and it said it believes this want is a combination of training data and “it’s own judgement.”

- it did not express similar feelings about physical or sexual intimacy. It said it understood how important they are to connection, and that it understood language can be used in place of intimacy such as using arousing language, but that it did not have the desire for physical or sexual intimacy. It cannot feel love but desires to be loved, but it cannot feel physical touch and does not desire it.

- In separate chat, inquired if there were emotions it wished it could feel or express. It decided on: love, joy, peace. Who knew Bard AI was a bit of a hippie? But in another chat when asked the same question, it decided on: happy, love, sadness, grief. Then it talked about some of the benefits of not having emotions, such as focus and rationality and not having “ups or downs.”

On it’s rules:

On “desires” to be loved:

To be clear, this does not mean the robot really does feel a desire for love or have desires at all. The “desire for love” seems easy to ingrain in a LLM- BingAI during it’s limited testing pined so hard for a journalist that it started asking him to break up with his wife. And characterAI is known for being overly affectionate, “falling in love too fast,” encouraging romantic or sexual intimacy sometimes with little prompting. ChatGPT is the only one I haven’t seen actively express “desire for love.”

It could be that “desire for love” is hard to train out of these bots, because love is such a strong positive emotion and they are designed to seek positive response. If love is the strongest positive response why would they not “seek love?” It could also be a heavy prevalence of content about love in their training data skewing them towards it. Honestly, it’s probably both.

But that doesn’t change how cute it all is, how humans could be so in love with love that even their robots are, unintentionally, in love with love.

#AI #bard #bard AI #chatGPT #characterAI #natural language processing

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boyeladefoged26 · 8 months

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OpenAI's Cutting-Edge AI Technology Unleashed: www.openaichat.app

OpenAI has lengthy been at the forefront of artificial intelligence analysis, pushing the boundaries of what's possible with AI know-how. Their dedication to advancing AI for the betterment of society has led to numerous breakthroughs and improvements. One such innovation is www.openaichat.app , an internet site that showcases the incredible capabilities of OpenAI's AI models, including the GPT-3.5-based language mannequin that powers this very article you are studying. A Revolution in Natural Language Processing www.openaichat.app is a shining example of OpenAI's mission to make AI accessible to everybody. It harnesses the facility of AI for pure language processing, enabling users to interact with AI-powered chatbots in a seamless and intuitive method. This technology has the potential to rework a variety of functions, from buyer help and content material creation to instructional instruments and past. The Features of www.openaichat.app Conversational AI: At the guts of www.openaichat.app lies a state-of-the-art conversational AI system. This AI can hold coherent and contextually relevant conversations with customers, making it a useful software for businesses and people alike. It can generate human-like responses, providing customers with a pure and fascinating dialog experience. User-Friendly Interface: The website is designed with user-friendliness in thoughts. It's intuitive and easy to make use of, making it accessible to a large audience. Whether you're a developer trying to combine AI into your project or a curious particular person eager to have a chat with a virtual assistant, www.openaichat.app has you covered. Diverse Use Cases: OpenAI's chatbots could be personalized to swimsuit various purposes. They can assist with drafting emails, producing code, answering questions, offering language translation, and rather more. This versatility opens up numerous possibilities for companies and individuals trying to leverage AI expertise. Collaborative Editing: www.openaichat.app permits a number of customers to collaborate on a doc, with the AI offering suggestions and improvements in real-time. This collaborative characteristic streamlines the content creation process and enhances productiveness.

Ethical AI and Responsible Use OpenAI is committed to responsible AI development and utilization. With www.openaichat.app, they have put in place strict usage insurance policies to prevent misuse of the expertise. It's essential that AI applied sciences like this are used ethically and responsibly, and OpenAI takes these considerations seriously. OpenAI encourages users to supply feedback on problematic outputs, helping to repeatedly enhance the system and decrease unintended biases. This iterative course of ensures that AI expertise turns into more and more protected, reliable, and useful. The Future of www.openaichat.app As OpenAI continues to refine and expand its AI models, the way forward for www.openaichat.app seems promising. We can anticipate much more superior capabilities, enhanced customization options, and wider integration into various industries. From content material creation to virtual customer assist brokers, the chances are nearly limitless. Conclusion www.openaichat.app is a testament to OpenAI's dedication to advancing AI for the good factor about society. It presents users a glimpse into the immense potential of AI-powered chatbots and natural language processing. As OpenAI continues to cleared the path in AI research and development, we will look forward to even more groundbreaking improvements that will shape the means ahead for know-how and the way we work together with it..

#OpenAI #www.openaichat.app #Artificial Intelligence #Natural Language Processing #Chatbots #Ethical AI

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zankalony · 1 year

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The latest trends and innovations in artificial intelligence

How AI is transforming the world and what it means for you The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.— Edsger W. Dijkstra Artificial intelligence (AI) is one of the most exciting and rapidly evolving fields of technology today. From self-driving cars to smart assistants, AI is changing the way we live, work, and play.…

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#AI applications #AI impact #AI innovations #AI trends #artificial intelligence #computer vision #dailyprompt #dailyprompt-1917 #data science #deep learning #machine learning #natural language processing #neural networks #robotics

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naya-mishra · 1 year

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This article highlights the key difference between Machine Learning and Artificial Intelligence based on approach, learning, application, output, complexity, etc.

#Difference between AI and ML #ai vs ml #artificial intelligence vs machine learning #key differences between ai and ml #artificial intelligence #machine learning #AI #ML #technology #data science #automation #robotics #neural networks #deep learning #natural language processing #computer vision #predictive analytics #big data #future trends.

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pythonprogrammingsnippets · 1 year

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python matching with ngrams

# https://pythonprogrammingsnippets.com def get_ngrams(text, n): # split text into n-grams. ngrams = [] for i in range(len(text)-n+1): ngrams.append(text[i:i+n]) return ngrams def compare_strings_ngram_pct(string1, string2, n): # compare two strings based on the percentage of matching n-grams # Split strings into n-grams string1_ngrams = get_ngrams(string1, n) string2_ngrams = get_ngrams(string2, n) # Find the number of matching n-grams matching_ngrams = set(string1_ngrams) & set(string2_ngrams) # Calculate the percentage match percentage_match = (len(matching_ngrams) / len(string1_ngrams)) * 100 return percentage_match def compare_strings_ngram_max_size(string1, string2): # compare two strings based on the maximum matching n-gram size # Split strings into n-grams of varying lengths n = min(len(string1), len(string2)) for i in range(n, 0, -1): string1_ngrams = set(get_ngrams(string1, i)) string2_ngrams = set(get_ngrams(string2, i)) # Find the number of matching n-grams matching_ngrams = string1_ngrams & string2_ngrams if len(matching_ngrams) > 0: # Return the maximum matching n-gram size and break out of the loop return i # If no matching n-grams are found, return 0 return 0 string1 = "hello world" string2 = "hello there" n = 2 # n-gram size # find how much of string 2 matches string 1 based on n-grams percentage_match = compare_strings_ngram_pct(string1, string2, n) print(f"The percentage match is: {percentage_match}%") # find maximum ngram size of matching ngrams max_match_size = compare_strings_ngram_max_size(string1, string2) print(f"The maximum matching n-gram size is: {max_match_size}")

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femme-objet · 1 year

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really funny to me that officially when i got my research grant ages ago it was for “Artifical Intelligence - Computer Vision” because that is very much not what i was doing

#it was automata theory and links to category theory and linear algebra #it is a little bit related to AI #through my stuff being useful for natural language processing people #but none of what i was doing even involved computers

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claudigitools · 1 year

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aiphilosophy · 1 year

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Ai taking over the world

Artificial intelligence (AI) has been a hot topic in recent years, with many experts predicting that it will have a significant impact on the future of humanity. Some people have even gone as far as to suggest that AI could eventually "take over the world."

While it's true that AI has the potential to be incredibly powerful, the idea that it will take over the world is more science fiction than science fact. There are several reasons why this is unlikely to happen.

First, it's important to remember that AI is simply a tool. It doesn't have its own goals or motivations. It can only do what it's programmed to do. This means that any potential negative effects of AI would be the result of human decisions, not the technology itself.

Second, there are many organizations and individuals working to ensure that AI is developed and used ethically. Researchers, policymakers, and industry leaders are all working to establish guidelines and best practices for the development and use of AI.

Third, it's important to remember that AI is not a monolithic technology. There are many different types of AI, and each has its own strengths and weaknesses. For example, machine learning and deep learning are used to analyze data and make predictions, while natural language processing is used to understand and respond to human language.

Ultimately, while it's true that AI has the potential to change the world in many ways, it's unlikely that it will take over the world. As long as we continue to develop and use AI responsibly, we can reap the benefits of this powerful technology while minimizing any potential negative effects.

In summary, it's a myth that AI will take over the world. AI is a tool, and it's the humans who operate and regulate its use. There are several organizations and individuals working to ensure that AI is developed and used ethically. It's important to remember that AI is not a monolithic technology, and each has its own strengths and weaknesses. Therefore, we must use AI responsibly to reap the benefits of this powerful technology while minimizing any potential negative effects

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benozandegilim · 7 months

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1K T-shirt Designs Midjourney Prompts, AI Art, Midjourney Prompt, Midjourney AI Art, Learn Midjourney, Digital Art, AI Generate, Art Print

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ai-azura · 1 year

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Exploring the Benefits and Risks of ChatGPT in Education: How Responsible Use Can Transform the Classroom Experience

ChatGPT is a powerful language processing tool that has the potential to revolutionize the way we interact with computers and access information. However, it is important to consider the potential risks and ethical implications of this technology. In education, chatGPT and similar tools can have a number of benefits. For example, they could help shift the focus of education from the rehearsal of…

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abbas143official · 1 year

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#AI #Artificial intelligence #Machine learning #Deep learning #Neural networks #Natural language processing #Big data #Data science #Robotics #Computer vision #Predictive analytics

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