Developers looking to work with Claude Instant 1.2 can now call our latest model over our API! https://
docs.anthropic.com/claude/referen
ce/selecting-a-model
…
GENERATIVE AI
-
Claude Instant 1.2 Now Available via Anthropic API
By
–
-
Claude Instant 1.2 API Launch: Faster, Capable Model
By
–
Introducing our latest version of Claude Instant, version 1.2, available now through our API!
— Anthropic (@AnthropicAI) 9 août 2023
Claude Instant is our faster, lower-priced yet still very capable model, which can handle a range of tasks including dialogue, analysis, summarization, and document comprehension. pic.twitter.com/p9M2d7O9K9Introducing our latest version of Claude Instant, version 1.2, available now through our API! Claude Instant is our faster, lower-priced yet still very capable model, which can handle a range of tasks including dialogue, analysis, summarization, and document comprehension.
-
Expanding Context Windows Improves Semantic Chunk Retrieval
By
–
Can also be thought of as similar to fetching the chunk before/after the most semantically similar chunk This takes advantage of the fact that context windows are getting longer and longer! This would have been less plausible a few months ago
-
Groq Launches Ultra-Low Latency Generative AI with Llama-2
By
–
Ultra-low latency #generativeAI by @GroqInc is here. Schedule your private demo viewing of Llama-2 70B running on a Groq LPU™ by reaching out to contact@groq.com.
-
Congratulations to AI startup investors and founders
By
–
congrats! great people to take money from and great product to be giving money to 🙂
-
Exploring AI Playground Capabilities and Features
By
–
A fun playground experience, good way to explore capabilities https://t.co/Gi5H2O3cvE
— Harrison Chase (@hwchase17) 9 août 2023A fun playground experience, good way to explore capabilities
-
Technology’s Inevitable Wave: Preparing for Mass Diffusion
By
–
technology has a clear, inevitable trajectory: mass diffusion in great roiling waves. this is true from the earliest flint and bone tools to the latest AI models. looking forward there is no reason to expect this to change. accept what's coming, to get prepared read more at
-
CIOs Securing Generative AI Access for Data Science Teams
By
–
Even if an enterprise isn’t ready to consider how generative AI may disrupt their businesses, CIOs need to secure access to #generativeAI models and enable #datascience teams to develop fine-tuned LLMs. Learn more from our own Kjell Carlsson in @CIOonline
: https://
domino.buzz/3qlzkQo -
Abacus AI Open-Sources Giraffe Long-Context Models
By
–
We are open-sourcing the models and the evaluation datasets and performance experiments. Git repository: https://
github.com/abacusai/Long-
Context
…. You can use the model directly from HuggingFace. 4k version: https://
huggingface.co/abacusai/Giraf
fe-v1-delta-13b-scaled-4
…. 16k version: https://
huggingface.co/abacusai/Giraf
fe-v1-delta-13b-scaled-16
…. -
ReLoRA Paper: Exploring LoRA for LLM Pretraining Beyond Finetuning
By
–
Just catching up with the ReLoRA paper (
https://
arxiv.org/abs/2307.05695) that explores whether LoRA can be used for pretraining LLMs (vs finetuning). Looks promising! Caveat: they pretrained models up to 350 M parameters (the smallest Llama model is 7 B parameters, for comparison)