IBM Journey to AI blog

SEPTEMBER 11, 2023

When making any changes to your setup, keep in mind the recommendations in our previous blog posts about updates and migrations across environments. Wrap up This concludes our blog series on managing your cloud ecosystems to reduce downtime.

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AssemblyAI

JANUARY 23, 2024

Conversation Intelligence platforms build these tools on top of Speech AI models such as Speech-to-Text transcription, Summarization, Topic Detection, Sentiment Analysis, and more.  This may include tools that identify keywords, analyze key areas of conversations, highlight opportunities or areas of concern, and more.

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DagsHub

SEPTEMBER 10, 2023

Choose a project from the list below or any DagsHub hosted project participating in Hacktoberfest (search for projects with the “hacktoberfest” topic). Make your repository Hacktoberfest-ready by adding the "hacktoberfest" topic. Register to DagsHub and Hacktoberfest anytime between September 26 and October 31.

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Towards AI

OCTOBER 24, 2023

It covers topics such as compute requirements, computing optima, minimum dataset size, minimum hardware performance, and memory requirements for inference. This improvement leads to better responses in knowledge-intensive tasks like QA, reasoning, and fact verification. Why LLaVa-1.5 Is a Great Victory for Open-Source AI LLaVa-1.5,

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AssemblyAI

JANUARY 23, 2023

Source: Aloware ‌ ‌ In addition, Topic Detection AI models can identify topics in a conversation such as clothing or weather and Entity Detection AI models can identify and classify recurring entities such as occupation or location that occur during a conversation.

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AssemblyAI

DECEMBER 11, 2022

If the bank uses low-quality data to inform future training and coaching, they are wasting their representatives' time by training/retraining on the wrong topic, technique, or strategy. By providing an intelligent summary of each call, sales reps can quickly skim conversation topics and identify areas of insight.

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ODSC - Open Data Science

FEBRUARY 1, 2024

How to Ace the Data Science Interview in 2024 In this interview with Nick Singh, we discussed a few major topics — how to stand out among others in a competitive field, how to ace the data science interview, and how to follow up after an interview.

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AssemblyAI

MAY 16, 2023

For example, AssemblyAI offers a simple API for production-ready AI models for Speech Recognition , Summarization, Speaker Diarization, Sentiment Analysis, Topic Detection, and more. Aloware’s product team integrated production-ready AI models to ship Smart Transcription in just six weeks, automating most QA tasks for its customers.

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AWS Machine Learning Blog

OCTOBER 2, 2023

You can also use EC2 instances to validate the different components in a QA process before deploying to an actual edge production device. For other topics and use cases, refer to our Machine Learning and IoT blogs. These messages can be viewed via the MQTT test client on the AWS IoT console for debugging.

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AssemblyAI

SEPTEMBER 13, 2023

After each virtual meeting, Sembly’s meeting notes view presents a focused digest of the meeting, displaying a short summary, meeting outline, key topics, and meeting insights. AI summarization has many benefits for virtual meetings and other use cases. It is also available in 35 languages across web, iOS, and Android mobile apps.

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Heartbeat

FEBRUARY 2, 2024

The questions cover a broad spectrum of topics and require nuanced comprehension, ranging from straightforward object recognition to more complex scenarios demanding reasoning abilities. COCO-QA: Shifting attention to COCO-QA, questions are categorized based on types such as color, counting, location, and object.

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ODSC - Open Data Science

JANUARY 23, 2024

One of the biggest topics we touched on was the concept of retrieval augmented generation, better known as RAG , for LLMs. One of their methods uses questions with under-specified context to probe QA models and uncover any stereotypical biases present. This means we need to think about measuring potential risks in a number of ways.

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The MLOps Blog

JANUARY 11, 2023

After finishing the development, going through the QA, and eventually updating the repository with the script, it is time to build the rest of the workflow, meaning to create triggers, lambda functions, and log groups and streams. However, the WebSocket library should be added as a layer to the Lambda function. sm_client = boto3.client(

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AssemblyAI

SEPTEMBER 12, 2023

Media Monitoring : Speech-to-Text APIs can help broadcast TV, podcasts, radio, and more quickly and accurately detect brand and other topic mentions for better advertising. For example, a Contact Center as a Service company is using highly accurate ASR to power smart transcription and speed up QA for its customers.  

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AssemblyAI

NOVEMBER 15, 2023

Popular AI models for business applications: Sentiment Analysis Face Recognition Summarization Generative AI Content Moderation Fraud Detection Entity Detection PII Redaction Diagnosis Prediction Topic Detection Intent Recognition 5. Read the entire use case.   Read the entire use case.

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AWS Machine Learning Blog

MARCH 28, 2024

Each child document captures distinct aspects or topics from the broader parent document. qa = RetrievalQA.from_chain_type( llm=llm, chain_type="stuff", retriever=retriever, return_source_documents=True, chain_type_kwargs={"prompt": PROMPT} ) Let’s ask a question: query = "How did AWS evolve?"

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Data Science Dojo

NOVEMBER 28, 2023

Relevance: The ability of the LLM to produce text that is pertinent to the given context, task, or topic. Creativity: The ability of the LLM to generate original, imaginative, and unconventional text formats. Evaluating risks: Current risk evaluations, often tied to question answering, may miss nuanced behaviors in LLMs with RLHF.

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Alation

JUNE 20, 2023

Will: The big topics for the data engineers are lineage, and the titles and descriptions of fields that they’re using. From my QA background, the simple fact that you can go to a centralized location, it’s valuable to know that that query works for this thing and you can go and search for it.

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The Data Administration Newsletter

JUNE 15, 2021

billion annually due to improperly organized testing – despite the fact that 25-40% of budget funds are allocated to methods and tools for Quality Assurance (QA) organization. According to research work done by the National Institute of Standards and Technology, the US economy loses from $22.5 billion to $59.5 What does this mean?

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AssemblyAI

NOVEMBER 2, 2023

Here’s a quick example of how powerful AI Summarization models can be: Inside Intercom: Josh Seiden 0:00 / 1962.135438 1× Bullets Josh Seiden and Brian Donohue discuss the topic of outcome versus output on Inside Intercom. Paragraph Josh Seiden and Brian Donohue discuss the topic of outcome versus output on Inside Intercom.

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DrivenData Labs

APRIL 10, 2024

At the time of selecting competitions, this was the most attractive in terms of sustainability, image segmentation being a new type of challenge for this team, and having a topic that would be easy to explain and visualize at events. Summary of approach: For preprocessing, we first set all NaN values to zero.

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Towards AI

JULY 21, 2023

", "What was score?"]execute Splitgraph SELECT cambridge_cases. connect( dsn=f"postgresql://{API_KEY}:{API_SECRET}@data.splitgraph.com:5432/ddn?application_name=psycopg2") application_name=psycopg2") as conn: with conn.cursor() as cur: cur.execute(QUERY) result = cur.fetchall() print(result) What kind of data?

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AssemblyAI

APRIL 15, 2024

Chapter detection : Automatically segment audio into chapters or sections based on thematic or topical shifts. Sentiment analysis : Analyze the emotional tone behind a series of words to understand the attitudes, opinions, and emotions expressed by the speaker. "It saves our customers hours of call listening on lengthy calls.

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Snorkel AI

APRIL 13, 2023

To address this issue, federated learning has emerged as a popular recent topic with thousands of papers each year. On the left, we grouped the results from the GPT-3 paper by the prompt format they used for the task, including two types of open-ended formats, namely QA and cloze, and then the restrictive.

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Snorkel AI

APRIL 13, 2023

To address this issue, federated learning has emerged as a popular recent topic with thousands of papers each year. On the left, we grouped the results from the GPT-3 paper by the prompt format they used for the task, including two types of open-ended formats, namely QA and cloze, and then the restrictive.

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Heartbeat

OCTOBER 26, 2023

These are useful for tasks like QA, where you must parse an answer. This can be done through internships, research projects, and taking courses in AI-related topics. There are three components to this module: 1) Prompts , which provide templates that allow you to parametrize and reuse prompts.

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Towards AI

JULY 19, 2023

Google Colaboratory Edit description colab.research.google.com Topic Modeling What to know what cross-lingual zero-sot topic modeling is all about? Imagine you want your model to learn topics in the English language and then you want it to predict unseen topics in Italian documents it has also never seen.

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The MLOps Blog

JANUARY 23, 2023

We have Quality Assurance (QA) or User Researchers manually testing and debugging problems. Just like people do with QA and testing in regular software development. Feel free to follow me there if that’s an interesting topic for you. That is bad, right? That is happening on top of the automated tests.

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AWS Machine Learning Blog

AUGUST 15, 2023

Each paragraph focuses on the same topic. Using the ConversationalRetrievalChain tool, which further adds memory of chat history to the QA solution. Chunk sentences The text content in documents is normally organized by paragraph. In the following sections, we describe each step in detail.

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Mlearning.ai

SEPTEMBER 5, 2023

This information consistency can be calculated using various methods such as neural methods to calculate semantic equivalence (like BERTScore) or using IE/QA-based methods (described above in the Metrics section). So, they sample multiple responses from the model (e.g. When do LLMs Hallucinate the Most?

Machine Learning 52

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Towards AI

JULY 21, 2023

Google Colaboratory Edit description colab.research.google.com Topic Modeling What to know what cross-lingual zero-sot topic modeling is all about? Imagine you want your model to learn topics in the English language and then you want it to predict unseen topics in Italian documents it has also never seen.

Natural Language Processing 52

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Towards AI

SEPTEMBER 6, 2023

The array of topics covered in these courses is as diverse as it is comprehensive. This will create a wrapper around the functionality of our vector database # so we can search for similar documents/chunks in the vectorstore and retrieve the results:retriever = chromadb_index.as_retriever()# This chain will be used to do QA on the document.

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