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1. Top results related to what is text generation software in computer architecture

   • What is char size in a computer architecture?

     Top Answer

     Answered Mar 01, 2022 · 1 votes

     In modern C, a char is guaranteed to be independently modifiable, without disturbing surrounding data. It's usually chosen to be the width of the narrowest load/store instruction. So on Alpha or word-addressable CPUs, a char had to be the word size, or else every char store would have to compile to an atomic RMW on the containing word. (Rather than a much cheaper non-atomic RMW like some early compilers actually used, before C11 introduces a thread-aware memory model to the language.) See Can modern x86 hardware not store a single byte to memory? (which covers modern ISAs in general) and C++ memory model and race conditions on char arrays for the requirements C++11 and C11 place on char.

     But that Wikipedia table of word and char sizes in historical machines is clearly not about that, given the sizes. (e.g. smaller than a word on some word-addressable machines, I'm pretty sure).

     It's about how software (and character I/O hardware like terminals) packed multiple character of the machine's native character encoding (e.g. a subset of ASCII, EBCDIC, or something earlier) into machine words.

     Unicode, and variable-length character encodings like UTF-8 and UTF-16, are recent inventions compared to that history. https://en.wikipedia.org/wiki/Character_encoding#History Many systems used fewer than 8 bits per character, e.g. 6 (64 unique encodings) is enough for the upper and lower case Latin alphabet plus some special characters and control codes.

     These historical character sets are what motivated some of the choices for programming languages to use certain special characters or not, because they were developed on systems that had a certain character set.

     Historical machines really did do things like pack 3 characters of text into an 18-bit word.

     You might want to search on https://retrocomputing.stackexchange.com/, or even ask a question there after doing some more reading.

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   • What is the difference between architecture and infrastructure in software?

     Top Answer

     Answered Mar 25, 2014 · 37 votes

     Infrastructure describes the actual set of components that make up a system, while architecture describes the design of the components and their relationships. In a nutshell, a system is built on an infrastructure that has a particular architecture.

     For example:

     Many multiplayer game backends provide a client-server infrastructure.

     Many multiplayer game backends use a client-server architecture.

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     2/5

   • What is difference between procedural cohesion and sequential cohesion in Software Design Architecture?

     Top Answer

     Answered Jul 31, 2017 · 7 votes

     In Sequential cohesion, activities are related and output for current activities is input for next activity but in procedural cohesion activities are unrelated.

     Example for Sequential Cohesion : Let us take an example of getting data from database. Below will be steps for this task. 1. Get result set from sql command 2. prepare result set 3. return result set In this example sequence is followed and each activity's result is input for next activity. If any of the activity is not executed successfully then next activity will not executed.

     Example for Procedure Cohesion : Let us take example of above module. 1. create connection string 2. Open connection using SqlConnection class 3. Execute sql command suing SqlCommand 4. Get resultset using SqlDataReader

     In this example record is fetched from database. We have to use SqlConnection, SqlCommand, SqlDataReader which is different in terms of functionality. But all of them make a complete procedure to get records from database.

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     3/5

   • In context of computer architecture, what is the difference between control word and micro-instruction in case of micro programmed control unit?

     Top Answer

     Answered Mar 01, 2018 · 1 votes

     You are right. Microinstructions and control words are synonyms of each other. Let us understand what Mano means by this-" Control word contains control variables"

     So,to control the datapath, you have control signals. Let us take an example of an ALU in the datapath. Say, the ALU performs 2 operations- ADD and SHIFT. Let us call the control signal of the ALU as ALU_K and say when ALU_K=0, the output of the ALU will be ADD and when ALU_K=1, output will be SHIFT. So, now, the control variable we have is ALU_K.

     Lets encode the SHIFT(Opcode-01) instruction. My control logic is such that it decodes the first two bits as opcode and the third bit as ALU_K. In other words, the third bit from my control logic goes to the control pin of the ALU. For the data path to perform SHIFT, we want the ALU to perform a SHIFT operation. And therefore, we will encode the ALU_K bit in the ControlWord of SHIFT instruction as 1 and the opcode will be 01. So finally, I will be storing 011 in my control logic. This bunch is referred to as 'control word'. They are also called microinstruction or microcodes.

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   • What is the difference between Computer Architecture and Computer Organisation?

     Top Answer

     Answered Feb 02, 2012 · 5 votes

     According to the Wikipedia entry Microarchitecture:

     In computer engineering, microarchitecture (sometimes abbreviated to µarch or uarch), also called computer organization, is the way a given instruction set architecture (ISA) is implemented on a processor. A given ISA may be implemented with different microarchitectures. Implementations might vary due to different goals of a given design or due to shifts in technology. Computer architecture is the combination of microarchitecture and instruction set design.

     (emphasize mine)

     See the whole article for more in-depth details. See also the computer architecture article.

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2. www.geeksforgeeks.org › text2text-generationsText2Text Generations using HuggingFace Model - GeeksforGeeks

   www.geeksforgeeks.org › text2text-generations

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   4 days ago · Text2Text generation is a versatile and powerful approach in Natural Language Processing (NLP) that involves transforming one piece of text into another. This can include tasks such as translation, summarization, question answering, and more.

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4. arxiv.org › abs › 2405Text Generation: A Systematic Literature Review of Tasks ...

   arxiv.org › abs › 2405

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   May 24, 2024 · This review categorizes works in text generation into five main tasks: open-ended text generation, summarization, translation, paraphrasing, and question answering. For each task, we review their relevant characteristics, sub-tasks, and specific challenges (e.g., missing datasets for multi-document summarization, coherence in story generation ...

5. link.springer.com › chapter › 10Large Language Model and Text Generation | SpringerLink

   link.springer.com › chapter › 10

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   Jun 9, 2024 · Text generation can be further classified into text abbreviation—condense a long text into a shorter one (e.g., summarization), text expansion—generate sentences, paragraphs, or full-text documents from a given topic, and text rewriting and reasoning—rewrite the original text to another style or generated responses with logic . As the ...

6. www.aporia.com › learn › exploring-architectures-andExploring Large Language Models: A Guide to LLM Architectures

   www.aporia.com › learn › exploring-architectures-and

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   May 28, 2024 · A Large Language Model (LLM) is an advanced AI algorithm that uses neural networks with extensive parameters for a variety of natural language processing tasks. Trained on large text datasets, LLMs excel in processing and generating human language, handling tasks such as text generation, translation, and summarization.

7. www.geeksforgeeks.org › ml-text-generation-usingML | Text Generation using Gated Recurrent Unit Networks

   www.geeksforgeeks.org › ml-text-generation-using

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   May 22, 2024 · This article will demonstrate how to build a Text Generator by building a Recurrent Long Short Term Memory Network. The conceptual procedure of training the network is to first feed the network a mapping of each character present in the text on which the network is training to a unique number.

8. www.kdnuggets.com › the-best-strategies-for-fineThe Best Strategies for Fine-Tuning Large Language Models

   www.kdnuggets.com › the-best-strategies-for-fine

   May 15, 2024 · LLMs are a specific category of Machine Learning meant to predict the next word in a sequence based on the context provided by the previous words. These models are based on the Transformers architecture and are trained on extensive text data, enabling them to understand and generate human-like text.

9. People also ask

   How do text generation apps work?

   • Most text generation apps rely on LLMs that use the transformer architecture. Although it was developed by a group of Google researchers, GPT is the most well known example, so we'll focus on how it works, so you have a rough idea of what's going on under the hood with these large language models.

   The top AI text generators | Zapier

   zapier.com/blog/ai-text-generator/

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   Why is text generation so important?

   • Text generation has become more accessible than ever, and the increasing interest in these systems, especially those using large language models, has spurred an increasing number of related publications. We provide a systematic literature review comprising 244 selected papers between 2017 and 2024.

   [2405.15604] Text Generation: A Systematic Literature Review of Tasks, E…

   arxiv.org/abs/2405.15604

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   How can developers use AI text generation?

   • There are models that developers can train and deploy themselves, like Meta's Llama, and other APIs, like Claude and Google Gemini. This all means that developers now have a range of options for adding AI text generation to their apps—which is why there are so many tools with similar features available.

   The top AI text generators | Zapier

   zapier.com/blog/ai-text-generator/

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   What is the Best AI text generator?

   • Simplified is an all-in-one AI marketing app. It's an AI text generator, but it also has AI-powered video and image editing and an integrated social media scheduler included. Model: GPT Platform: Web, Chrome Pricing: From $29/month for unlimited words Copymatic is another GPT-powered AI text generator (hope you're enjoying the broken record here).

   The top AI text generators | Zapier

   zapier.com/blog/ai-text-generator/

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10. zapier.com › blog › ai-text-generatorThe top AI text generators in 2024 | Zapier

    zapier.com › blog › ai-text-generator

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    May 13, 2024 · Most text generation apps rely on LLMs that use the transformer architecture. Although it was developed by a group of Google researchers, GPT is the most well known example, so we'll focus on how it works, so you have a rough idea of what's going on under the hood with these large language models.