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  • Deep Dive into Fine-Tuning the Tiny-Llama Model on a Custom Dataset
    In the rapidly evolving landscape of machine learning, the ability to fine-tune models on custom datasets is a game-changer. It allows for the creation of models that are not only powerful but also tailored to specific domains, enhancing their performance […]
  • Fine-Tuning Large Language Models: Unleashing Their Full Potential
    In the rapidly evolving landscape of natural language processing (NLP), large language models (LLMs) have emerged as powerful tools, capable of tackling a wide range of tasks with remarkable accuracy. However, these models are typically pre-trained on vast amounts of […]
  • Unveiling the Secrets of Pre-training Large Language Models
    Introduction Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by delivering remarkable performance across a wide range of tasks, from text generation and summarization to question answering and machine translation. These powerful models owe their […]
  • Crafting Answers: A Guide to Building a Generative AI CLI Tool with WatsonX AI and Llama 2 in Python
    Introduction Welcome to the world of limitless possibilities where artificial intelligence meets human creativity! In this blog, we embark on an exciting journey to explore the fusion of cutting-edge technologies – WatsonX AI and Llama 2 – with the versatility […]
  • Beyond Words: The Enigmatic Realm of Large Language Models
    In the realm of artificial intelligence, Large Language Models (LLMs) stand as a beacon of innovation, pushing the boundaries of what machines can understand and generate in natural language. This article delves deeper into the technical aspects of LLMs, exploring […]
  • Elevating Document Management with RAGs
    Introduction The information explosion is leading to an increase in the number of documents being produced every minute. The sheer volume of documents necessitates automated ways to organize, summarize, and retrieve information. Retrieval Augmented Generative (RAG) models, a combination of […]
  • Leveraging Aerolift for Intelligent Document Interaction
    In today’s digital age, businesses are drowning in a sea of documents: contracts, invoices, research papers, emails, and more. Manually sifting through and extracting valuable information from these diverse sources can be a monumental task, consuming precious time and resources. […]
  • How does effective data knowledge management contribute to achieving your business goals?
    This approach provides a comprehensive understanding of the multifaceted benefits that data knowledge management offers. Effective data knowledge management can have a significant impact on achieving business goals. Here are a few options for readers to select when answering how […]
  • Tell me about Embeddings and how to use OpenAI for Embeddings
    Embeddings are vector representations of words or sentences that capture their semantic meaning and relationships. They are numerical representations that allow machine learning models to understand and process textual data effectively. OpenAI provides powerful language models like GPT-3.5 that can […]
  • what are the top 10 questions companies ask about their document?
    Companies often have various questions about their documents, depending on their specific needs and objectives. Here are ten common questions that companies might ask: It’s important to note that these questions can vary depending on the specific document and its […]
  • How should I use RLHF to train my LLM models?
    Reinforcement Learning with Human Feedback (RLHF) can be used to train Language Model (LM) models by integrating human feedback into the training process. Here are some steps to follow to use RLHF to train your LM models: Overall, RLHF can […]
  • What is RLHF?
    Reinforcement Learning (RL) is a type of machine learning that focuses on how software agents can learn to make decisions in an environment in order to maximize some notion of cumulative reward. In RL, an agent interacts with an environment […]
  • What is prompt engineering?
    Prompt engineering refers to the process of designing and refining prompts to achieve better performance from a language model like GPT. It involves selecting the appropriate type of prompt, crafting the wording, and providing the necessary context and constraints to […]
  • What is a prompt?
    A GPT prompt is a piece of text used to initiate a response from a GPT (Generative Pre-trained Transformer) language model. A GPT prompt can be a single sentence, a paragraph, or a longer text input, and it is used […]
  • What is Semantic Search?
    Semantic search refers to a type of search that focuses on understanding the meaning behind a query and the intent of the user, rather than relying solely on matching keywords or phrases. It involves using contextual understanding and knowledge of […]
  • Can ChatGPT index and expose my company data?
    As an AI language model, ChatGPT does not have the capability to index or expose your company data on its own. However, if you provide access to your company data during a conversation, there is a risk that ChatGPT could […]
  • How do I safe-guard my company data being used by ChatGPT?
    As an AI language model, ChatGPT doesn’t have the ability to access or retrieve data on its own. It only operates based on the input that it receives from the user in real-time and its responses are generated based on […]
  • What are the efforts required to launch my own AI LLM
    Launching an AI-focused LLM program would likely require additional time and resources compared to a traditional LLM program. Developing an AI LLM program involves creating a curriculum that is focused on the legal and ethical issues surrounding AI, as well […]
  • what are the startup ideas I can apply generative AI to?
    There are many potential startup ideas where you can apply generative AI. Here are a few examples: These are just a few examples of startup ideas where generative AI could be applied. The possibilities are endless, and it ultimately depends […]
  • Dear Investors…
    Good afternoon everyone, I am excited to share with you our vision for a startup in the Generative AI space and why we believe it is a valuable investment opportunity. As we all know, artificial intelligence is rapidly changing the […]

“Companies cannot over look the benefits offered by generative AI!”

Cindy G. – 202

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