LLMs

Contextual AI: Making Enterprise-Ready LLMs Available For All

Announcing Lightspeed’s latest investment within the AI spaceLarge language models (LLMs) have taken the world by storm in recent months, and for good reason — LLMs are uniquely suited to understand and extract insights...

Contextual AI: Making Enterprise-Ready LLMs Available For All

Announcing Lightspeed’s latest investment within the AI spaceLarge language models (LLMs) have taken the world by storm in recent months, and for good reason — LLMs are uniquely suited to grasp and extract insights...

Deploying LLMs On Amazon SageMaker With DJL Serving

Deploy BART on Amazon SageMaker Real-Time InferenceLarge Language Models (LLMs) and Generative AI proceed to take over the Machine Learning and general tech space in 2023. With the LLM expansion has come an influx...

Construct Industry-Specific LLMs Using Retrieval Augmented Generation How Microsoft Is Solving This Constructing Industry-Specific Q&A Models Using RAG Conclusions

You'll be able to do the identical thing with words or sentences, as a substitute of images. Notice how within the above example, the vectorization is in a position to capture the semantic representation...

QLoRa: Wonderful-Tune a Large Language Model on Your GPU QLoRa: Quantized LLMs with Low-Rank Adapters Wonderful-tuning a GPT model with QLoRa GPT Inference with QLoRa Conclusion

Most large language models (LLM) are too big to be fine-tuned on consumer hardware. As an example, to fine-tune a 65 billion parameters model we'd like greater than 780 Gb of GPU memory. That...

Applying LLMs to Enterprise Data: Concepts, Concerns, and Hot-Takes 4 Concepts Three Concerns Two Hot-Takes Footnotes

Ask GPT-4 to prove there are infinite prime numbers — while rhyming — and it delivers. But ask it how your team performed vs plan last quarter, and it can fail miserably. This illustrates...

The way to Use LLMs to Generate Concise Summaries Organising the environment Summarizing a paragraph About Author

Large language models (LLMs) are a style of artificial intelligence (AI) that could be used to generate text. They're trained on massive datasets of text, which allows them to learn the nuances of human...

Leveraging LLMs in product design: opportunities and challenges Chatbots Text-to-Text Using Context Mapping Natural Language to Other Domains Solve for the use case, AI is only a tool More resources

Incorporating AI into your design solutions.Recently, I used to be making numerous AI prototypes, and in this text, I need to share with you my learning. We're going to discuss what design opportunities Large...

Recent posts

Popular categories

ASK ANA