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FlashDecoding++: Faster Large Language Model Inference on GPUs: Related Works

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Due to the versatility of optimizations in FlashDecoding++, it can achieve up to 4.86× and 2.18×...
Due to the versatility of optimizations in FlashDecoding++, it can achieve up to 4.86× and 2.18× speedup on both NVIDIA and AMD GPUs compared to Hugging Face.

faster-llm-inference flashdecoding++llm-inference-on-gpus llm-research-papers machine-learning
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Is GPT Powerful Enough to Analyze the Emotions of Memes?: References

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artificial-intelligence chatgpt data-analysis emotion-recognition machine-learning
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Is GPT Powerful Enough to Analyze the Emotions of Memes?: Discussion

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artificial-intelligence chatgpt data-analysis emotion-recognition machine-learning
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Is GPT Powerful Enough to Analyze the Emotions of Memes?: Experiment Results

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artificial-intelligence chatgpt data-analysis emotion-recognition machine-learning
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Is GPT Powerful Enough to Analyze the Emotions of Memes?: Methodology

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artificial-intelligence chatgpt data-analysis emotion-recognition machine-learning
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Is GPT Powerful Enough to Analyze the Emotions of Memes?: Related Work

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artificial-intelligence chatgpt data-analysis emotion-recognition machine-learning
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Is GPT Powerful Enough to Analyze the Emotions of Memes?: Abstract & Intro

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artificial-intelligence chatgpt data-analysis emotion-recognition machine-learning
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Vector Databases: Getting Started With ChromaDB and More

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In this article, we will explore another well-known vector store called ChromaDB. Chroma DB is a...
In this article, we will explore another well-known vector store called ChromaDB. Chroma DB is a vector store that is open-source and is utilized for the retrieval of vector embeddings. We will create a vectors store, add collections, add text to the collection, and perform a query search with and without meta filtering.

langchain machine-learning machinelearning vector-database vector-embedding
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242 Stories To Learn About Ml

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ai artificial-intelligence learn learn-ml machine-learning
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Machine Learning: Your Ultimate Feature Selection Guide Part 2 - Select the Real Best

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Part 2 of our feature selection series discusses the intricacies of wrapper and embedded methods, their...
Part 2 of our feature selection series discusses the intricacies of wrapper and embedded methods, their computational aspects, and practical applications. Stay tuned for Part 3 on AutoML solutions.

ai-applications artificial-intelligence machine-learning machine-learning-ai machine-learning-uses
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87 Stories To Learn About Machinelearning

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ai artificial-intelligence learn learn-machinelearning machine-learning
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64 Stories To Learn About Machine Learning Tutorials

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ai artificial-intelligence data-science learn machine-learning
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53 Stories To Learn About Machine Learning Uses

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ai artificial-intelligence deep-learning learn machine-learning
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Machine Learning: Your Ultimate Feature Selection Guide Part 1 - Filter the Most

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This article introduces the concept of feature selection in machine learning, emphasizing the use of filter...
This article introduces the concept of feature selection in machine learning, emphasizing the use of filter methods to efficiently reduce feature sets in a cost-effective manner, thus enhancing model performance and interpretability. Upcoming articles will delve deeper into various feature selection techniques, providing practical insights and applications.

ai-applications ai-guide artificial-intelligence machine-learning machine-learning-ai
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Artificial Parenting: A Chance to Feel for Real

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In this article, I discuss the possibility of artificial parenting: an issue that is relatively new...
In this article, I discuss the possibility of artificial parenting: an issue that is relatively new to our culture. I review this issue from the perspective of the modern neurophysiological approach. Despite the novelty and the seeming surrealism of this phenomenon, some scientists have already reviewed the social implications of AI. An example of such work is “Theories of Parenting and Their Application to...

ai-for-learning ai-for-teaching artificial-parenting generative-ai machine-learning
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OpenAI's Rate Limit: A Guide to Exponential Backoff for LLM Evaluation

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This article will teach you how to run evaluations using any LLM model without succumbing to...
This article will teach you how to run evaluations using any LLM model without succumbing to the dreaded "OpenAI Rate Limit" exception. We’d start by: - Defining what rate-limit means and using an analogy - Understanding what OpenAI rate-limits are - Explaining how the Rate-Limit Process was developed - Explaining the Code Implementation

api-rate-limiting fine-tuning-llms llms machine-learning openai
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40 Stories To Learn About Facial Recognition

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artificial-intelligence facial-recognition facial-recognition-tech learn learn-facial-recognition
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320 Stories To Learn About Deep Learning

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ai artificial-intelligence deep-learning learn learn-deep-learning
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Mastering Cybersecurity Talent Challenges in 2024

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In 2024, cybersecurity faces unprecedented challenges due to geopolitical tensions and tech advancements. WEF ranks cyber...
In 2024, cybersecurity faces unprecedented challenges due to geopolitical tensions and tech advancements. WEF ranks cyber insecurity as a top global risk. Cyber pros struggle with staffing shortages, skills gaps, and budget cuts. Soft skills gain importance. Hiring takes longer. Strategies for 2024 include staff augmentation, AI, and retention programs to enhance cybersecurity.

cybersecurity-awareness cybersecurity-strategy cybersecurity-talent cybersecurity-tips machine-learning
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Data and IP Protection: Use Cases Defining the Choice of Privacy-Enhancing Technologies

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A one-size-fits-all approach to data access and privacy strategies is a mirage. "Synthetic data, when not...
A one-size-fits-all approach to data access and privacy strategies is a mirage. "Synthetic data, when not underpinned by robust privacy guarantees like Differential Privacy (DP), can lead to significant privacy breaches."

data data-protection data-security machine-learning privacy
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BYOK (BringYourOwnKey) in Generative AI is a Double-edged Sword

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Bring Your Own Key (BYOK) in generative AI refers to a model where users bring their...
Bring Your Own Key (BYOK) in generative AI refers to a model where users bring their pre-trained language models for use in an AI application or platform. Users can choose the specific language model that aligns with their needs, preferences, or the application's requirements. This approach contrasts with the conventional model, where developers make decisions on behalf of the users regarding the algorithms that...

artificial-intelligence bring-your-own-keys byok generative-ai large-language-models
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59 Stories To Learn About Tensorflow

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artificial-intelligence learn learn-tensorflow machine-learning python
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82 Stories To Learn About Neural Networks

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artificial-intelligence deep-learning learn learn-neural-networks machine-learning
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75 Stories To Learn About Datasets

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artificial-intelligence data-science datasets learn learn-datasets
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