Towards AI

SEPTEMBER 4, 2023

This compiler internally traces the program’s execution and subsequently devises high-quality prompts suitable for larger LMs, or even trains automatic finetuning for smaller LMs, imparting knowledge of the task’s intricacies. Notably, DSPy introduces an automatic compiler that educates LLMs on executing declarative stages within a program.

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Towards AI

NOVEMBER 7, 2023

A New Beatles Song Is Set for Release After 45 Years — With Help From AI A new Beatles song featuring the complete Fab Four was released 45 years after John Lennon began writing it — with the help of artificial intelligence. It highlights the importance of a clear dataset and recommends using a 33B model for better finetuning.

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ML @ CMU

FEBRUARY 24, 2023

Experiments on few-shot classification and unsupervised text style transfer show superior performance over a wide range of existing finetuning or prompting methods. For the manual prompts, we take one from this paper and write two more for this experiment. (J(cdot)) RLPrompt is flexibly applicable to different types of LMs (e.g.,

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ODSC - Open Data Science

JANUARY 31, 2024

The fact is that these AI powerhouses can generate text, translate languages, write different kinds of creative content, and even answer your questions in an informative way. Whether writing a poem, brainstorming a marketing campaign, or crafting a novel, Autogpt can spark your imagination and push your LLM to its creative limits.

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Mlearning.ai

JUNE 7, 2023

As I write this, the bert-base-uncasedmodel on HuggingFace has been downloaded over 53 million times in the last month alone! Photo by Kapa64 on PixelBay Following BERT, several models began to appear with their roots in BERT’s fundamental architecture. In other words, it was and is a pretty big deal.

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Mlearning.ai

MAY 19, 2023

Alongside the base MPT model, Mosaic are also releasing three other finetuned variants to showcase the broad range of possibilities with this transformative model. Along with the base model, MosaicML unveils three finetuned models — each manifesting a different approach to leveraging the MPT-7B foundation.

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ODSC - Open Data Science

NOVEMBER 9, 2023

While this will vary by industry, writing, programming, and researching are all knowledge management areas that will benefit greatly from generative AI-driven search and discovery. For example, in chemistry use cases, be sure your solution is finetuned on chemical terminology before deploying to answer user questions.

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ODSC - Open Data Science

DECEMBER 19, 2023

These professionals are responsible for creating and maintaining prompts for AI models, redlining, and finetuning models through tests and prompt work. All of this puts data scientists in high demand, and the job market is expected to grow rapidly in the coming years. Prompt Engineer Prompt engineers are in the wild west of AI.

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AWS Machine Learning Blog

MAY 7, 2024

Only write the masked text in the response. """ In the following example, you define the llama2_chat function that encapsulates sending the prompt to the Llama-2 model. system = """ Your task is to precisely identify any email addresses from the given text and then write them, one per line. Use ' *' for masking text of any length.

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Mlearning.ai

JANUARY 26, 2023

Finetune a pre-trained LLM against all the versions of the revisions of responses from all of the harmful prompts, also include a mix of helpful prompts and responses to ensure that the fine-tuned model remains helpful. Ask the Helpful Model to critique its own response after providing a set of principles that it should abide by.

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ODSC - Open Data Science

FEBRUARY 15, 2024

This versatility is essential for LLMs to be effective in diverse applications, from text generation and conversation to code writing and debugging. The varied nature of the dataset ensures that LLMs exposed to it can develop a more robust understanding of both natural language and programming languages.

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Towards AI

AUGUST 10, 2023

New Llama-2 model In mid-July, Meta released its new family of pre-trained and finetuned models called Llama-2, with an open source and commercial character to facilitate its use and expansion. A demo on how to fine-tune the new Llama-2 using PEFT, QLoRa, and the Huggingface utilities Image by author created in Leonardo.ai

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The MLOps Blog

FEBRUARY 22, 2024

A model needs to be personalized: Let’s say you maintain a document classification pipeline, and each of your many users has slightly different data to be processed—for example, documents with different vocabulary and writing styles. Model personalization via continual learning in a document classification process.

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Mlearning.ai

AUGUST 14, 2023

used in this tutorial are published in the following GitHub repository: GitHub - FELT-Labs/llm-finetuning: Algorithms and instructions for finetuning LLMs with FELT Labs Why is blockchain involved? Feel free to ask in the comments for more details (maybe I write a separate tutorial for this). You need around 7.2

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AWS Machine Learning Blog

APRIL 3, 2023

One of the most prominent instruction tuning methods, Finetuning language models (Flan), aggregates these publicly available collections into a Flan Collection to produce fine-tuned models on a wide variety of instructions. For readers who have always wished they could write in their eBooks, Amazon’s new Kindle lets them do just that.

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AWS Machine Learning Blog

DECEMBER 22, 2023

To set up for fine-tuning, you first need to download the training set and setup a template for instructions # Dumping the training data to a local file to be used for training. train_and_test_dataset["train"].to_json("train.jsonl") import S3Uploader import sagemaker import random output_bucket = sagemaker.Session().default_bucket()

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Mlearning.ai

AUGUST 21, 2023

Another way to customize the LLM is by finetuning. Details of finetuning OpenAI and Opensource LLM models will be shared in next article. LLM’s have capability to respond in specific format. The instructions should be provided in the prompt. WRITER at MLearning.ai / 800+ AI plugins / AI art Copyright Mlearning.ai

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Mlearning.ai

NOVEMBER 1, 2023

You can look at HumanEval leaderboard here , where multiple Language Models finetuned on Code benchmarked and currently GPT-4 maintained at the top position in the leaderboard. This method is inspired by how human developers test code correctness based on whether it passes certain unit tests.

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Snorkel AI

MAY 25, 2023

At the time of this writing, OpenAI has not publicly stated GPT-4’s parameter count, but one estimate based on conversations with OpenAI employees put it at one trillion parameters —five times the size of GPT-3 and nearly 3,000 times the size of the original large version of BERT. Most recently, OpenAI debuted GPT-4.

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Snorkel AI

MAY 25, 2023

At the time of this writing, OpenAI has not publicly stated GPT-4’s parameter count, but one estimate based on conversations with OpenAI employees put it at one trillion parameters —five times the size of GPT-3 and nearly 3,000 times the size of the original large version of BERT. Most recently, OpenAI debuted GPT-4.

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AssemblyAI

MARCH 7, 2023

GPT used task-specific finetuning and architectural modifications [ 5 ] As it turns out, if you scale the Language Model into a Large Language Model, it is capable [ 6 ] of performing these tasks without any architectural modifications or task-specific training. We can see why claims of 100 T parameters were so quickly dismissed by Altman.

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Mlearning.ai

JUNE 7, 2023

There are two types of AWS Inferentia accelerators available at the time of writing. The AWS Inferentia chips are designed with a focus on delivering high performance, low latency, and cost efficiency for inference workloads. Inferentia1: The first-generation AWS Inferentia accelerator powers Amazon EC2 Inf1 instances launched in 2019.

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The MLOps Blog

JULY 18, 2023

All we now have to do is adapt and finetune it to get the results that we need out of it. We have a new model to predict action items, we’re going to run it, and we’re going to write out the results. We can just leverage that now and get some of the benefits of these really well-written summaries. It’s a great tool.

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AWS Machine Learning Blog

MAY 10, 2024

SageMaker Canvas provides an intuitive point-and-click interface for business users to fine-tune LLMs without writing code. Locate the model with the prefix canvas-llm-finetuned- and timestamp. Choose the model that starts with canvas-llm-finetuned- , then choose Save. Keep the default Type of endpoint , which is Provisioned.

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AssemblyAI

AUGUST 1, 2023

In recent months, Large Language Models (LLMs) have garnered much attention for their ability to write code, draft documents, and more. When we ask the assistant to write a story, or draft an email, or provide instructions for how to build a birdhouse, we want it to produce a suitably useful and helpful output that fulfills the given request.

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Mlearning.ai

APRIL 28, 2023

You can call the API by writing “[QA(question)]” where “question” is the question you want to ask. Output: Joe Biden was born in [QA(“Where was Joe Biden born?”)] The authors compare the performance of the following models: GPT-J : The regular GPT-J model without any finetuning.

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BAIR

APRIL 3, 2023

Online interactive demo Open source training and serving framework System Overview Large language models (LLMs) have enabled increasingly powerful virtual assistants and chat bots, with systems such as ChatGPT , Bard , Bing Chat , and Claude able to respond to a breadth of user queries, provide sample code, and even write poetry.

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Mlearning.ai

SEPTEMBER 6, 2023

Prompt engineering cheat sheet The ten most important techniques to write prompts: You’ll learn the 10 most important techniques for crafting effective prompts, such as: Clear instructions Defining the output format Prompt templates Data context Few-shot examples How to deal with “don’t know” / “won’t answer” cases (ie.

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AWS Machine Learning Blog

JANUARY 17, 2024

Write a response that appropriately completes the request.nn### Instruction:n{instruction}nn### Input:n{context}### Response:n{response}nn """) Examine the hyperparameters and overwrite them for your own use case: from sagemaker import hyperparameters model_id = "meta-textgenerationneuron-llama-2-13b" model_version = "1.*"

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AWS Machine Learning Blog

NOVEMBER 1, 2023

The distilbert-base-uncased-finetuned-sst-2-english model is a refined checkpoint of DistilBERT-base-uncased , optimized on the Stanford Sentiment Treebank (SST2) dataset by Hugging Face. Please explain the main clinical purpose of such image?Can This model achieves a 91.3%

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AWS Machine Learning Blog

AUGUST 7, 2023

Hugging Face has created a Transformers API that unifies more than 50 different transformer architectures on different ML frameworks, including access to pre-trained model weights in their Model Hub , which has grown to over 200,000 models as of writing this post.

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AWS Machine Learning Blog

JUNE 29, 2023

To monitor the training metrics, we utilize the TensorBoard logs that we write to the specified Amazon Simple Storage Service (Amazon S3) bucket. From here, we can use the Linux watch command to repeatedly run nvidia-smi every half second: watch -n 0.5

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