Here is a great summary or glossary doc about LLM by Aman Chadha. This long doc provides a summary of some of the main concepts related to LLM. This includes topics such as:
✅ Embeddings
✅ Vector database
✅ Prompt engineering
✅ Token
✅ RAG
✅ LLM performance evaluation
✅ Review main LLMs
Beyond the brain: Our intelligence leverages the power of culture and language. Channeling Ted Underwood and Francios Chollet, I argue that language models, despite their biases and lack of understanding –– are important tools for thinking. 🗣️🌍💡 cc @TedUnderwood https://leviathan.substack.com/p/beyond-the-brain
Ofcourse results needs to be verified and confirmed in practice but after reading the
MedGemini paper from Google there is no doubt in my mind AI will change the world of medicines. Not replacing people but augmenting them during diagnosis, operations and treatment of patients. https://arxiv.org/abs/2404.18416 #AI#medicines#generativeAI#LLM#GoogleGemini#MedGemini
If you are using LLMs through API tokens, or running locally, which UI do you use? I'm in the market for recommendations. Have tried llm and LibreChat but neither really stuck for me. #ai#llm
Fun fact about the Langchain's logo. The parrot and a chain link were inspired by people calling LLMs stochastic parrots. Models mimic human writing but don't really understand what they're saying. #Langchain serves to "chain" the "parrots" together 😃 #llm#javascript#webdev
Ganz schön arrogant, wie einige #KI bzw. #LLM verteufeln.
Nicht jedem fallen die Worte aus den Fingern wie frühreife Früchte, für viele ist das Schreiben ein zähes, träges Mäandern.
Und wenn KI da bei der Textarbeit hilft und diesen Menschen mehr Partizipation und Produktivität und einfach ein besseres Gefühl ermöglicht, ist das toll!
Teamkollege hat sich die einzigen #Bücher zu einem Fachthema im #Buchhandel als Print-on-Demand bestellt. Was ankam, war nicht nur verschnitten, litt an ausgewaschenem Druckbild und entbehrte jeglicher Gliederung, nein, die Texte waren auch 100% #KI-Erzeugt und völlig inhaltsleerer #Fake.
Angeblich habe der Autor „Rob Botwright“ (🤔) in einem halben Jahr 80 Bücher von Pascal-Programmierung über IT-Sicherheit bis Stringtheorie bei „Pastor Publishing Ltd.“ veröffentlicht.
Anthropic released an iOS app for their Claude 3 LLM.
I’m past the stage that dismisses LLMs. Some variant will be a useful tool for me. For various tasks. Some I haven’t thought of yet. I’m currently using them as research assistants on topics I’m writing about. To see if detailed prompts (several hundred words with topic headings etc) get responses that include things I’d overlooked. I don’t use any generated text directly.
I might use Claude as a tutor for some studying I plan. #LLM
An #LLM#AI trained on playlists and music reviews who talks with a sneer like a local record store clerk who just doesn't have time for your pedestrian tastes. #ideas But if it must, it will make recommendations.
Very interesting reading on LLMs and their current and future limitations
>> It might be best to say that LLMs demonstrate incredible intuition but limited intelligence. It can answer almost any question that can be answered in one intuitive pass. And given sufficient training data and enough iterations, it can work up to a facsimile of reasoned intelligence.
Although they hallucinate, make mistakes and can't be fully trusted, it's amazing how much knowledge LLMs like Llama3 contain and can deliver with a few gigabytes and how you can interact with it in natural language. If we showed this to someone from 1990 he would call it AGI for sure 😀 #AI#LLM
The amazing thing about LLMs is how much knowledge they posess in their small size. The llama3-8b model, for instance, weighs only 4.7GB yet can still answer your questions about everything (despite some hallucinations). #llm#ai#ollama#llama3
Google provides a tool called PageSpeed Insights which gives a website some metrics to assess how well it is put together and how fast it loads. There are a lot of technical details but in general green scores are good, orange not great and red is bad.
I tried to ensure the tests were similar for each platform by choosing a page that shows a list of posts, like https://mastodon.social/explore.
The rest don’t seem to have prioritized performance or chose a software architecture that cannot be made to perform well on these metrics. It will be very interesting to see how that affects the cost of running large instances and the longevity of the platforms. Time will tell.