Personalized assistants and chatbots boost productivity and foster innovation across fields. Like creative partners, they offer new ideas and strategies, assisting in writing, coding, or brainstorming. LLMs like GPT-4 and Llama-2 can offer fresh perspectives.
CODE
-

Enhancing PostgreSQL with AI Using EvaDB Integration
By
–
Augmenting PostgreSQL with AI using EvaDB https://
bit.ly/3Qv9zYg #AI #MachineLearning #DeepLearning #LLMs #DataScience -
PyTorch Updates Featured in TheAlphaSignal Newsletter
By
–
Will you share what's new for Pytorch from those videos in more detail in the @TheAlphaSignal newsletter? 😀
-

Biblos: Semantic Search and Bible Text Summarization with NLP
By
–
Semantic Search + Summarization New community project alert Biblos allows semantic search and summarization of Bible passages using state-of-the-art NLP techniques: Vector search over the entire Bible text using @trychroma and BAAI BGE embeddings
Summarization of -

Implementing Llama from Scratch: A Practical Deep Learning Guide
By
–
Llama from scratch (or how to implement a paper without crying) https://
bit.ly/3PmBVCi #AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Model Integration Methods: API vs Fine-tuning vs Training
By
–
Are you currently working with an API or with a model directly (e.g. open-source or proprietary)? More details on the options:
– API (OpenAI, Claude…)
– Fine-tuning an open-source model
– Training from scratch a model (llama, Mistral…)
– Not using any AI models
– Other -

Advanced Retrieval Algorithm Implementation and Diagram
By
–
Great diagram for one of the advanced retrieval algorithms we recently added
-

DPO Training Now Available in AutoTrain Advanced
By
–
Want to train your own zephyr-like model or want to improve on it! Good News! DPO Training just landed in AutoTrain Advanced. Now train your own custom DPO models without writing a single line of code
-
Supporting Developer Success Through API Customer Relations
By
–
That tweet was a self reflection I had 4-5 months ago that’s been sitting in my drafts. Would still love to hear more from you on the attitude towards API customers thread, any suggestions to make it more clear we want developers to be successful? As I mentioned in my other
-
Free Course: Training and Fine-Tuning LLMs for Production
By
–
This is the fourth video for our free course "Training & Fine-Tuning LLMs for Production" made with @activeloop
, @towards_AI and the @Intel Disruptor initiative. Tl;dr: We show everything about LLMs (train, fine-tune, RAG…), for free!
More details in the newsletter