Towards AI

DECEMBER 28, 2023

Deep learning fundamentals(with or without maths)– Major topics to focus on from LLM point of view are MP Neuron, perceptron, Sigmoid neuron, FFNN, Backpropagation, various types of Gradient descent, Activation functions, Representation of words like word2vec, RNN, GRU, LSTM. Expand your skillset by… courses.analyticsvidhya.com 2.

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Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

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Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

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Women in Big Data

DECEMBER 13, 2023

The goal of the talk was to learn about the basics of NLP (Natural Language Processing), how NLP is done, what is LLM (Large Language Model), Generative AI and how you can drive your career around it. Image Credit: Neebal Technologies LLMs are not free from challenges. It handles some of the limitations of LLM models.

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Mlearning.ai

FEBRUARY 26, 2024

This process creates a knowledge library that the LLM can understand. This step uses prompt engineering techniques to communicate effectively with the LLM. Remove irrelevant text/document: Eliminated all the irrelevant documents that we don’t need LLM to answer.

Database 52

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AssemblyAI

SEPTEMBER 29, 2023

Content management: organize and prioritize After a video or audio file is transcribed using Automatic Speech Recognition, companies can apply additional AI models to the transcription text that can categorize and tag content. This allows CallRail’s customers to more easily identify high-priority calls and common customer challenges.

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DagsHub

AUGUST 19, 2023

to monitor LLM performance by logging prompts and their corresponding outputs. We will use DPT , DagsHub’s LLM-based support chatbot, to demonstrate their usage. The key steps to build a Q&A application like the Dagshub Documentation LLM are: Creating Embeddings for the documentation and indexing them into Vector DB like Chroma.

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AssemblyAI

FEBRUARY 1, 2024

Generate tags, titles, and descriptions from your audio data. Try  LeMUR  and get answers to any questions about your audio with LLMs.  With  With LeMUR, you can send any prompt to the LLM and easily apply the model to your transcribed audio files.    Get answers to questions about your audio.

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Mlearning.ai

MAY 5, 2023

To learn and work with large language models (LLMs), there are several things that you should know: Understanding of Natural Language Processing (NLP) : LLMs are designed to process and generate natural language text, so it’s essential to have a good understanding of NLP concepts and techniques. Let’s create a community!

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AWS Machine Learning Blog

MAY 25, 2023

In the RAG-based approach we convert the user question into vector embeddings using an LLM and then do a similarity search for these embeddings in a pre-populated vector database holding the embeddings for the enterprise knowledge corpus. Select the notebook aws-llm-apps-blog and choose Open JupyterLab.

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Towards AI

AUGUST 9, 2023

Similarly, MM-ReAct [2] incorporates visual information in the forms of image captioning, dense captioning, image tagging, etc., inside the prompt to feed to the LLM. Multimodal Zero-shot learning using Instruction Tuning Fine-tuned LLMs showcase limited performance on unseen tasks, especially under distribution shifts.

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AssemblyAI

FEBRUARY 28, 2024

  Large Language Models (LLMs) : Large Language Models, or LLMs, are another powerful analysis tool for voice data. In addition to adding captions, video editing platforms can provide AI-powered tools that allow users to: Auto-tag video content with relevant tags.

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AWS Machine Learning Blog

DECEMBER 12, 2023

On the Set description tag page, choose Create access key. Navigate to the GitHub repository and download the react-llm-chat-studio code. Open your IDE, launch the react-llm-chat-studio code, and navigate to src/configs/models.json. Navigate to the react-llm-chat-studio code folder you created earlier. Choose Done.

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ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. This enhances the context awareness and factual accuracy of LLM outputs.

Machine Learning 52

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Snorkel AI

JANUARY 9, 2024

Additionally, we’ve expanded our sequence tagging support from 10 to 25 classes, broadening the scope and capabilities of our platform to meet your complex needs. Register for the next Enterprise LLM Virtual Summit! LLMs are rapidly transforming the enterprise and have the potential to revolutionize the way we work.

Machine Learning 52

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Snorkel AI

JANUARY 9, 2024

Additionally, we’ve expanded our sequence tagging support from 10 to 25 classes, broadening the scope and capabilities of our platform to meet your complex needs. Register for the next Enterprise LLM Virtual Summit! LLMs are rapidly transforming the enterprise and have the potential to revolutionize the way we work.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Heartbeat

NOVEMBER 22, 2023

Comparison evaluators in LangChain help measure two different chains or LLM outputs. Pairwise string comparison Often, you will want to compare predictions of an LLM, Chain, or Agent for a given input. tags : (Optional) List of tags to associate with the evaluation. prediction_b : The output string from the second model.

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Iguazio

FEBRUARY 20, 2024

Building MLOpsPedia This demo on Github shows how to fine tune an LLM domain expert and build an ML application Read More Building Gen AI for Production The ability to successfully scale and drive adoption of a generative AI application requires a comprehensive enterprise approach. What are the Key Elements of Data Management in Gen AI?

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Snorkel AI

JULY 14, 2023

Alongside Snorkel GenFlow, we also announced Snorkel Foundry for programmatically sampling, filtering, cleaning, and augmenting proprietary data for domain-specific pre-training of Large Language Models (LLM). Learn more about the Foundation Model Data Platform here. This makes navigating data simpler and less time-consuming.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

JULY 14, 2023

Alongside Snorkel GenFlow, we also announced Snorkel Foundry for programmatically sampling, filtering, cleaning, and augmenting proprietary data for domain-specific pre-training of Large Language Models (LLM). Learn more about the Foundation Model Data Platform here. This makes navigating data simpler and less time-consuming.

Machine Learning 52

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Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. is currently the state-of-the-art LLM. Handcrafted.

Artificial Intelligence 52

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Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. is currently the state-of-the-art LLM. Handcrafted.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

The Retrieve API takes the incoming query, converts it into an embedding vector, and queries the backend store using the algorithms configured at the vector database level; the RetrieveAndGenerate API uses a user-configured LLM provided by Amazon Bedrock and generates the final answer in natural language. strip() for item in response.strip().split("nn")[1:-1]

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AWS Machine Learning Blog

MARCH 13, 2024

The LLM analysis provides a violation result (Y or N) and explains the rationale behind the model’s decision regarding policy violation. The audio moderation workflow activates the LLM’s policy evaluation only when the toxicity analysis exceeds a set threshold. You will find the chat message in tag, and find the policy in the tag.

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Heartbeat

NOVEMBER 22, 2023

Use delimiters such as triple quotes (“‘xxx’”), triple backticks (```), triple dashes ( — -), angle brackets (< >), and XML tags. You can learn more about experiment tracking with Comet LLM. # Prompting for Developers: A Guideline Principle 1: Write Clear and Specific Instructions Delimiters for Precision : start clearly.

Deep Learning 52

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Data Science Dojo

AUGUST 8, 2023

Familiarize yourself with key concepts like tokenization, part-of-speech tagging, named entity recognition, and syntactic parsing. These form the foundation for working with conversational AI systems like ChatGPT. Master Python Python is the primary language for NLP and AI tasks.

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Flipboard

DECEMBER 6, 2023

The following are some of the experiments that were conducted by the team, along with the challenges identified and lessons learned: Pre-training – Q4 understood the complexity and challenges that come with pre-training an LLM using its own dataset. In addition to the effort involved, it would be cost prohibitive.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

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AssemblyAI

DECEMBER 7, 2023

Recent progress in large language models (LLMs) has sparked interest in adapting their cognitive capacities beyond text to other modalities, such as audio. Alternatively, an analysis tag indicates other types of audio processing, ensuring that the model can differentiate between direct transcription and broader audio analysis.

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AssemblyAI

DECEMBER 18, 2023

Large Language Models (LLMs) , another component of Speech AI, are powerful AI models that have a robust understanding of general-purpose language and communication. They are made even more accessible through LLM frameworks like LeMUR , which allow companies to easily build Generative AI audio analysis tools on top of spoken data.

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Towards AI

APRIL 19, 2024

Nevertheless, we will run into several problems as soon as we try to have an LLM carry out our data analysis tasks. In that case, we will have an even harder time than before with an LLM. That’s why we should pay attention to the task at hand before we ground the LLM via RAG. This 66 MB corpus contains 50K documents or ~13.9M

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Mlearning.ai

DECEMBER 21, 2023

Source : Image by Author The advancements in the LLM space have been mind-boggling. However, when it comes to using LLMs in real scenarios, we still grapple with the knowledge limitations and hallucinations of the LLMs. A Knowledge Cut-off date Training an LLM is an expensive and time-consuming process.

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Techniques and experimentation Prompt design is the technique of creating the most effective prompt for an LLM with a clear objective.

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AWS Machine Learning Blog

MARCH 15, 2024

The orchestrating Lambda function calls the Amazon Bedrock LLM endpoint to generate a final order summary including the order total from the customer database system (for example, Amazon DynamoDB ). Always put your response to the Human within the Response tags. That is because the LLM will guide Lambda throughout the process.

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Heartbeat

SEPTEMBER 19, 2023

This article will discuss navigating the Comet LLMOps tool, the new LLM SDK, and much more. Working with Comet LLM To use this tool, we need to have an account with Comet — an MLOps platform designed to help data scientists and ML teams build better models faster! Create a new LLM project in Comet. Let’s get started!

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phData

JANUARY 19, 2024

The platform features AI-powered tools that enable the integration of large language models (LLM) into your data pipelines, as well as a great connector library and a visual, low-code design that supports a wide range of data movement and transformation operations.

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Explosion

MAY 17, 2023

I don’t want to undersell how impactful LLMs are for this sort of use-case. You can give an LLM a group of comments and ask it to summarize the texts or identify key themes. One vision for how LLMs can be used is what I’ll term LLM maximalist. If you have some task, you try to ask the LLM to do it as directly as possible.

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