Small Language Models (not LLMs) are underrated: Ever since ChatGPT, we are hooked with the idea of large language models where it is this ultimate source of intelligence. However, after working with LLMs for a bit over a year now, I realized that while LLMs are great, it's small language model that is the hidden gem. Here is why I think they are underrated: - Fast: One of the biggest features is since they are smaller in nature, they are meant to be able to run faster than large language models, so you would get the response quicker. - Offline: As they are smaller in size, they will be able to run on a device without needing any internet connection, which also means you can use it even when you are offline! - Domain specific: Since it is smaller, it is also easier to train small models for specific tasks like on-device translation. One of the recent small language debuts has to be Apple Intelligence, where they have their small 3B (GPT-3 has 175B) parameter model to be the first model that the user will interact with, and gradually route it to their Apple server models and then to ChatGPT. Come and try it out and feel it for yourself at HuggingChat. They have a small model, Phi-3-mini-4k-instruct, that you can try now: https://buff.ly/4bwnwN1. We might see David vs Goliath stories again in this space!
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ChatGPT vs LLama vs Gemini The world of large language models (LLMs) is brimming with innovation, but with so many options, choosing the right one can be tricky. Let's compare three prominent contenders: ChatGPT: Renowned for its engaging conversational skills and ability to generate diverse creative text formats, ChatGPT thrives in tasks like crafting poems, scripts, or musical pieces. It excels at grasping user intent and producing original creative content. Llama: Developed by Meta, Llama boasts expertise in multilingual understanding and factual language. It tackles translation across languages, can write various creative content forms, and provides informative answers to your questions. Its forte lies in handling diverse languages and delivering factual accuracy. Gemini: This LLM is still under development, but it demonstrates a strong capacity for understanding and responding to factual queries. It can generate summaries of factual topics or create different creative text formats. However, it's continuously learning to navigate open-ended conversations. The million-dollar question: which LLM reigns supreme for creative projects? Based on my own experience, ChatGPT appears to be miles ahead in its creative capacity. Its focus on open-ended conversation and diverse creative outputs makes it a compelling choice. Ultimately, the best LLM depends entirely on your specific project needs. Get hands-on and explore - see which one ignites your creative spark! What experiences have you had with these LLMs? Share your projects and thoughts in the comments below!
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ChatGPT didn’t write this…duh! The West has invested billions of dollars in developing AI, particularly Large Language Models (LLMs), to boost human productivity. Yet, there's a paradoxical stance emerging: "Don't use AI for this," or "Never use ChatGPT for that." Now when you write with common words—words that ChatGPT, trained by human input, often uses, such as "unlock," "unleash," "realm," "embark," "delve," and the like—you're labeled as having used ChatGPT. It seems no matter how extensive your English vocabulary is or how culturally nuanced your use of the language may be... ...you're expected to conform to a restricted mode of expression. ...you're expected to tiptoe through a linguistic minefield of unspoken rules of communication. ...you're expected to oversimplify your content to a Grade 3 reading level... ...to be reflective of American speech or writing. I understand the push for simplicity and the 'write as you speak' mantra. However, for some—like many West Africans with colonial legacies, who learned English as a second language and annually spend hundreds to certify (IELTS, TOEFL, etc) their proficiency—words like "delve" are part of our natural lexicon. In Nigeria, as students progress from primary to secondary education, they're encouraged to expand their vocabulary, often with larger dictionaries. Imagine dedicating years to mastering the English language, only to be discouraged from using words like 'delve' because they're deemed too reminiscent of ChatGPT. Imagine the frustration when a well-crafted scholarship application, a detailed business proposal, an innovative collaboration pitch, or a job application is dismissed—not for lack of merit, but because it contains the word 'unlock.' A word that, though fitting, has been unfairly stigmatized due to its association with ChatGPT's vocabulary. It's a disheartening reflection of bias in decision-making, where the content's value is overshadowed by unfounded assumptions about its origin. Indeed, these are peculiar times. 😂 --- Ramadan Kareem to all observing the Eid-il-Fitr celebration 🎊🎉
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"I said “delve” was overused by ChatGPT compared to the internet at large. But there’s one part of the internet where “delve” is a much more common word: the African web. In Nigeria, “delve” is much more frequently used in business English than it is in England or the US. So the workers training their systems provided examples of input and output that used the same language, eventually ending up with an AI system that writes slightly like an African." https://lnkd.in/e3-fEXdJ #ChatBots #ChatGPT #AIwriting #AItools #AIethics
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PART 3 (QUESTION I HAVE ASKED CHAT GPT) Context and Variation: Sentences are often context-dependent and can be modified by tone, register, and intention. A sentence that makes sense in one context may not in another, leading to even more possibilities. 2. Finite Number of Chemical Elements? In contrast, chemical elements are a finite set of fundamental substances that combine in different ways to form compounds. The periodic table lists 118 elements, and these elements combine through chemical reactions to create molecules. While the possible combinations of these elements are vast (think of the trillions of different compounds and molecules that can exist), the total number of distinct elements themselves is finite. However, as with language, there is still an almost infinite variety of substances, because compounds can be formed in complex and varied ways. This variety is vast, but it is still constrained by the number of elements. 3. Key Differences Between Language and Chemistry: Creativity and Novelty: Language has creative potential that far exceeds chemistry, because humans can generate an infinite number of sentences, many of which can express new or unique ideas. In contrast, even though chemical compounds can be varied and numerous, the building blocks (elements) are finite, and compounds are constrained by chemical laws. Combinatorial Possibilities: While both language and chemistry rely on combinations (words and elements), language has an element of recursion and creativity that chemical reactions do not. For example, new words or phrases can be invented and understood by speakers of a language, even if they’ve never been encountered before, as long as the underlying rules of the language are followed. The Role of Context: Sentences are inherently context-dependent, which adds another layer of complexity. A sentence may be constructed with a particular intention, tone, or nuance that changes its meaning depending on the situation. Chemical compounds, on the other hand, tend to behave in more predictable ways due to the underlying physical and chemical principles. Conclusion: While chemical elements are finite and combine in myriad ways to form compounds, language operates differently. It has a potentially infinite number of sentences, driven by the creativity of speakers, the recursive nature of grammar, and the open-endedness of communication. So, no, there is not a finite number of sentences in a given language in the same way that there are a finite number of chemical elements. ChatGPT can
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We place a LOT of emphasis on the developers of large language model AI's to program these things ethically but have you considered that we (users) have a responsibility to USE them ethically as well? I don't mean avoiding deliberately malicious actions (that's a no-brainer), I mean understanding what it CAN'T do so that I don't unintentionally spread misinformation. Let me ask this: If you want to know George Washington's birthday - Can you ask GPT for the answer? Now let me ask you this: If you want to know what the top 5 needs are that indicate purchasing intent for your company's products within VP's of every Marketing Agency in the Fortune 1000 are - Can you ask GPT for the answer? Can you confidently answer EITHER of those questions? What I'm trying to illuminate here is that we have a problem of misunderstanding that can have a very real impact on business and politics and the only way to prevent misinformation is to follow a best-practice guideline. Here's a good piece that talks more in depth about what tools like Chat GPT can ETHICALLY do: https://lnkd.in/g58sqWYw Their basic guideline is as follows: 1. Language learning aid 2. Educational support and explanations 3. Generating ideas for brainstorming 4. Providing feedback on written work 5. Assisting in proofreading and editing If your need falls outside of this, consider a different tool for the job.
5 ways to ethically use ChatGPT - Crossplag
https://crossplag.com
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Saw two people on Instagram using ChatGPT 4.0 as a personal language translator. They were speaking to ChatGPT and ChatGPT was speaking back. They asked chat gpt to translate whatever was heard in English to Italian, then they had someone also speak in Italian and Chat gpt was able to translate what was said into English. It was insane and utterly powerful. Just think if the applications for this tool and try to see it through the ‘glass half full’ lens, this tool will improve your Life and for the better, all you need to do is use it. ChatGPT is not coming for your job, it’s coming for the jobs of People who don’t / won’t use ChatGPT. My advice, try it, play with it, find ways to use it and challenge yourself to find things it can’t do. And if you’re clever and switched in, you’ll use it to help you improve what you do at work, and elsewhere in life too. AI is here to stay and soon we will wonder what life was like without it, so jump on the bandwagon, find out what it’s about and let’s see what’s possible.
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What if you were asked to translate something but you don't speak the original language? Google Translate works but some portions will just be so poorly translated, it's an embarrassment. Here's how I use ChatGPT to fix it. This is perfect for multilingual websites where you're tasked to translate one page from one language to another. In my case, I edit the English version of a website, which is originally in German. The biggest problem with Google Translate's errors is that sometimes it fails to recognize the context, which therefore gives the translation an artificial feel. ChatGPT to the rescue. You'd highlight these parts to ChatGPT: 1. The original paragraph 2. The translated paragraph 3. The phrase which is poorly translated You'll ask ChatGPT to elaborate on what it thinks the author meant. ChatGPT will give you an answer that will clarify what the original text is supposed to mean. And this allows me to write a manual translation in place, with the context considered, so that sentences flow naturally. Here's the prompt: This is in [Language]: [Paste Original Text Here] Google translated it to: [Paste Translated Text Here] What does the phrase [Phrase To Elaborate] mean? #translation #ai #chatgpt
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Do you know there are more than 60K language models available (and ChatGPT is just one of them)? ⭐ I've created a quick cheat sheet to make your consideration easier: 💡 𝐔𝐬𝐞 𝐜𝐚𝐬𝐞: Explore the models based on the case. You need to solve classification, entity extraction, text generation, and summarization are just a few examples; model performance will be different for each of them. 💵 𝐂𝐨𝐬𝐭 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧: Consider the affordability of using LLM models. The price of resource units and billing rates directly impact your project's budget efficiency. 📏 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐋𝐞𝐧𝐠𝐭𝐡 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧: Evaluate the balance between the maximum input length and expected output quality. Ensuring your model can handle your specific context (how much text you can send and receive) size is key. 🎛️ 𝐅𝐢𝐧𝐞 𝐓𝐮𝐧𝐢𝐧𝐠: The extent to which a model can be fine-tuned to your application can significantly influence its performance and cost. The better the fine-tuned model, the less context you need to use — this means lower cost. 🔍 𝐈𝐏 𝐂𝐨𝐦𝐩𝐞𝐧𝐬𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧: Understand the implications of intellectual property rights and licensing terms. Some LLM model providers can take some responsibility on their own, which might be very important for enterprises. 🌍 𝐒𝐮𝐩𝐩𝐨𝐫𝐭𝐞𝐝 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: The ability of a model to comprehend and generate content in various languages is vital for global projects. Assess the model's linguistic versatility. ♾️ 𝐌𝐨𝐝𝐞𝐥 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: Consider possibilities to control the version of the model and its changes, as well as how you can monitor and observe model performance and quality. 🔒 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧: Data security and privacy are crucial. To protect your data integrity, prioritize models with robust security measures. ➡️ Remember: Making informed decisions based on these considerations will guide you in selecting a large language model (LLM) that meets and exceeds your project's requirements. #LLM #AI #ModelSelection #Innovation #TechConsiderations #aiarchitecture
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OpenAI I have been using the paid version of chat GPT, for work and personal. Overall life changing. However, I’ve had a few issues and looking for suggestions. (1) In a singe chat, after a while chatGPT gets “tired”. I keep getting this reply, “Your most recent request failed. Please retry!”. I have to open a new chat and everything is back to normal. (2) There are 3 models: 3.5, 4 and 4-omni. However, each chat uses a different model and if I want to use 4-omni, I have to manually change it. I prefer if the default model is 4-omni, which is the most accurate and updated. (3) Music: Chat GPT cannot sing or play music. (4) Speaking mode: When on loud speaker, ChatGPT picks up too much surrounding noise so one has to be in a quiet area and speak slowly. As a result, the two-way conversation is not very fluid and natural. (5) Translation: When speaking out a non-English language the accent of the translator sounds like a foreigner and not a native speaker. Although the grammar is accurate.
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The new ChatGPT updates are crazy good and it continues to stun me how quickly things are improving. The new features are not only enhancing my productivity but also making interactions more engaging and fun. ChatGPT is consistently becoming the first place I begin brainstorming for a new project. Here are a few highlights that I really like. 1. Improved Contextual Understanding: The improved contextual understanding makes conversations feel more natural and relevant. It’s like having a smart assistant at my finger tips. 2. Enhanced Customization: I love how I can now tailor responses to match my style and needs. This level of personalization makes a big difference in my day-to-day tasks especially when swapping between personal and professional. 3. Expanded Knowledge Base: With the latest information and trends at my fingertips, I can apply it to a broader range of problems and solutions. 4. Increased Multilingual Support: travelling is my biggest passion and the opportunity to be able to communicate almost seamlessly is a game changer not to mention that from a business side it could open whole new customer bases that previously were closed due to language barriers. I’m having a blast exploring all the possibilities. How are you using ChatGPT or other LLMs in your work or personal projects? Have these updates made a difference for you? I’d love to hear your experiences and any suggestions you have for future improvements! #AI #ChatGPT #Innovation #Productivity
OpenAI GPT-4o — breakthrough voice assistant, new vision features and everything you need to know
tomsguide.com
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